Awesome Diffusion

DiffusionSTR: Diffusion Model for Scene Text Recognition

Masato Fujitake

arXiv 2023. Paper

2023-06-29

Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation

Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang

arXiv 2023. Paper

2023-06-29

ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models

Weihao Cheng, Yan-Pei Cao, Ying Shan

arXiv 2023. Paper

2023-06-29

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

arXiv 2023. Paper

2023-06-29

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

arXiv 2023. Paper

2023-06-29

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models

Yilmaz Korkmaz, Tolga Cukur, Vishal Patel

arXiv 2023. Paper

2023-06-29

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models

Yilmaz Korkmaz, Tolga Cukur, Vishal Patel

arXiv 2023. Paper

2023-06-29

Spiking Denoising Diffusion Probabilistic Models

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

arXiv 2023. Paper

2023-06-29

DiffComplete: Diffusion-based Generative 3D Shape Completion

Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia

arXiv 2023. Paper

2023-06-28

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing

Wenjing Huang, Shikui Tu, Lei Xu

arXiv 2023. Paper

2023-06-28

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

Yiwen Zhang, Chuanpu Li, Liming Zhong, Zeli Chen, Wei Yang, Xuetao Wang

arXiv 2023. Paper

2023-06-28

SVNR: Spatially-variant Noise Removal with Denoising Diffusion

Naama Pearl, Yaron Brodsky, Dana Berman, Assaf Zomet, Alex Rav Acha, Daniel Cohen-Or, Dani Lischinski

arXiv 2023. Paper

2023-06-28

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

Jianyuan Wang, Christian Rupprecht, David Novotny

arXiv 2023. Paper

2023-06-27

Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models

Marija Ivanovska, Vitomir Štruc

arXiv 2023. Paper

2023-06-27

Easing Color Shifts in Score-Based Diffusion Models

Katherine Deck, Tobias Bischoff

arXiv 2023. Paper

2023-06-27

Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction

Majed El Helou

arXiv 2023. Paper

2023-06-26

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu

arXiv 2023. Paper

2023-06-26

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis

Aishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

arXiv 2023. Paper

2023-06-26

Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models

Luozhou Wang, Guibao Shen, Yijun Li, Ying-cong Chen

arXiv 2023. Paper

2023-06-26

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

arXiv 2023. Paper

2023-06-26

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion

Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek

arXiv 2023. Paper

2023-06-26

DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

Hyun-Jic Oh, Won-Ki Jeong

arXiv 2023. Paper

2023-06-25

Diffusion Model Based Low-Light Image Enhancement for Space Satellite

Yiman Zhu, Lu Wang, Jingyi Yuan, Yu Guo

arXiv 2023. Paper

2023-06-25

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan

arXiv 2023. Paper

2023-06-25

Zero-shot spatial layout conditioning for text-to-image diffusion models

Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek

arXiv 2023. Paper

2023-06-23

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala

arXiv 2023. Paper

2023-06-23

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala

arXiv 2023. Paper

2023-06-23

Decoupled Diffusion Models with Explicit Transition Probability

Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu

arXiv 2023. Paper

2023-06-23

DiffWA: Diffusion Models for Watermark Attack

Xinyu Li

arXiv 2023. Paper

2023-06-22

Towards More Realistic Membership Inference Attacks on Large Diffusion Models

Jan Dubiński, Antoni Kowalczuk, Stanisław Pawlak, Przemysław Rokita, Tomasz Trzciński, Paweł Morawiecki

arXiv 2023. Paper

2023-06-22

Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model

Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann

arXiv 2023. Paper

2023-06-22

Continuous Layout Editing of Single Images with Diffusion Models

Zhiyuan Zhang, Zhitong Huang, Jing Liao

arXiv 2023. Paper

2023-06-22

DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation

Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, Lei Zhang

arXiv 2023. Paper

2023-06-21

DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation

Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, Lei Zhang

arXiv 2023. Paper

2023-06-21

TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models

Se-In Jang, Cristina Lois, Emma Thibault, J. Alex Becker, Yafei Dong, Marc D. Normandin, Julie C. Price, Keith A. Johnson, Georges El Fakhri, Kuang Gong

arXiv 2023. Paper

2023-06-21

DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li

arXiv 2023. Paper

2023-06-21

DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li

arXiv 2023. Paper

2023-06-21

HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models

Chanyue Wu, Dong Wang, Hanyu Mao, Ying Li

arXiv 2023. Paper

2023-06-21

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, kayhan Batmanghelich, Tingbo Hou

arXiv 2023. Paper

2023-06-21

Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs

Yu Takagi, Shinji Nishimoto

arXiv 2023. Paper

2023-06-20

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model

Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin

arXiv 2023. Paper

2023-06-20

Align, Adapt and Inject: Sound-guided Unified Image Generation

Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo

arXiv 2023. Paper

2023-06-20

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model

Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin

arXiv 2023. Paper

2023-06-20

RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model

Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin

arXiv 2023. Paper

2023-06-20

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann

arXiv 2023. Paper

2023-06-20

Masked Diffusion Models are Fast Learners

Jiachen Lei, Peng Cheng, Zhongjie Ba, Kui Ren

arXiv 2023. Paper

2023-06-20

Eliminating Lipschitz Singularities in Diffusion Models

Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

arXiv 2023. Paper

2023-06-20

Diffusion model based data generation for partial differential equations

Rucha Apte, Sheel Nidhan, Rishikesh Ranade, Jay Pathak

arXiv 2023. Paper

2023-06-19

Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions

Yuqi Sun, Reian He, Weimin Tan, Bo Yan

arXiv 2023. Paper

2023-06-19

Conditional Text Image Generation with Diffusion Models

Yuanzhi Zhu, Zhaohai Li, Tianwei Wang, Mengchao He, Cong Yao

arXiv 2023. Paper

2023-06-19

Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning

Michael Tang, David Shustin

arXiv 2023. Paper

2023-06-19

GD-VDM: Generated Depth for better Diffusion-based Video Generation

Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya

arXiv 2023. Paper

2023-06-19

GenPose: Generative Category-level Object Pose Estimation via Diffusion Models

Jiyao Zhang, Mingdong Wu, Hao Dong

arXiv 2023. Paper

2023-06-18

Point-Cloud Completion with Pretrained Text-to-image Diffusion Models

Yoni Kasten, Ohad Rahamim, Gal Chechik

arXiv 2023. Paper

2023-06-18

Point-Cloud Completion with Pretrained Text-to-image Diffusion Models

Yoni Kasten, Ohad Rahamim, Gal Chechik

arXiv 2023. Paper

2023-06-18

Image Harmonization with Diffusion Model

Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong

arXiv 2023. Paper

2023-06-17

Drag-guided diffusion models for vehicle image generation

Nikos Arechiga, Frank Permenter, Binyang Song, Chenyang Yuan

arXiv 2023. Paper

2023-06-16

AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation

Yifei Zeng, Yuanxun Lu, Xinya Ji, Yao Yao, Hao Zhu, Xun Cao

arXiv 2023. Paper

2023-06-16

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models

Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye

arXiv 2023. Paper

2023-06-16

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks

Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng

arXiv 2023. Paper

2023-06-16

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian McAuley

arXiv 2023. Paper

2023-06-16

Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback

Shenghuan Sun, Gregory M. Goldgof, Atul Butte, Ahmed M. Alaa

arXiv 2023. Paper

2023-06-16

Towards Better Certified Segmentation via Diffusion Models

Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou

arXiv 2023. Paper

2023-06-16

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models

Roy Voetman, Maya Aghaei, Klaas Dijkstra

arXiv 2023. Paper

2023-06-16

R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction

Takeru Oba, Norimichi Ukita

arXiv 2023. Paper

2023-06-15

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World

Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei

arXiv 2023. Paper

2023-06-15

Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model

Lu Yu, Wei Xiang, Kang Han

arXiv 2023. Paper

2023-06-15

Taming Diffusion Models for Music-driven Conducting Motion Generation

Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan

arXiv 2023. Paper

2023-06-15

Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis

Shivam Mehta, Siyang Wang, Simon Alexanderson, Jonas Beskow, Éva Székely, Gustav Eje Henter

arXiv 2023. Paper

2023-06-15

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation

Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

arXiv 2023. Paper

2023-06-15

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik

arXiv 2023. Paper

2023-06-15

Training Multimedia Event Extraction With Generated Images and Captions

Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li

arXiv 2023. Paper

2023-06-15

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf

arXiv 2023. Paper

2023-06-15

ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models

Dar-Yen Chen

arXiv 2023. Paper Github

2023-06-15

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation

Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

arXiv 2023. Paper

2023-06-15

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf

arXiv 2023. Paper

2023-06-15

When Hyperspectral Image Classification Meets Diffusion Models: An Unsupervised Feature Learning Framework

Jingyi Zhou, Jiamu Sheng, Jiayuan Fan, Peng Ye, Tong He, Bin Wang, Tao Chen

arXiv 2023. Paper

2023-06-15

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

arXiv 2023. Paper

2023-06-15

Relation-Aware Diffusion Model for Controllable Poster Layout Generation

Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao

arXiv 2023. Paper

2023-06-15

Fast Training of Diffusion Models with Masked Transformers

Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar

arXiv 2023. Paper Github

2023-06-15

Conditional Human Sketch Synthesis with Explicit Abstraction Control

Dar-Yen Chen

arXiv 2023. Paper

2023-06-15

Training Diffusion Classifiers with Denoising Assistance

Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore

arXiv 2023. Paper

2023-06-15

On the Robustness of Latent Diffusion Models

Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu

arXiv 2023. Paper

2023-06-14

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing

Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

arXiv 2023. Paper

2023-06-14

Norm-guided latent space exploration for text-to-image generation

Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

arXiv 2023. Paper

2023-06-14

Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis

Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue

arXiv 2023. Paper

2023-06-14

GBSD: Generative Bokeh with Stage Diffusion

Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar

arXiv 2023. Paper

2023-06-14

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Yongqi Yang, Ruoyu Wang, Zhihao Qian, Ye Zhu, Yu Wu

arXiv 2023. Paper

2023-06-14

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models

Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

ICML 2023. Paper

2023-06-14

TryOnDiffusion: A Tale of Two UNets

Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman

CVPR 2023. Paper

2023-06-14

Adding 3D Geometry Control to Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan Yuille

arXiv 2023. Paper

2023-06-13

Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data

Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi

arXiv 2023. Paper

2023-06-13

3D molecule generation by denoising voxel grids

Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Martin Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi

arXiv 2023. Paper

2023-06-13

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy

arXiv 2023. Paper

2023-06-13

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa

arXiv 2023. Paper

2023-06-13

DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$

Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf

arXiv 2023. Paper

2023-06-13

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models

Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho

arXiv 2023. Paper

2023-06-12

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao

arXiv 2023. Paper

2023-06-12

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf

arXiv 2023. Paper

2023-06-12

MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images

Junchen Zhu, Huan Yang, Huiguo He, Wenjing Wang, Zixi Tuo, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu

arXiv 2023. Paper

2023-06-12

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao

arXiv 2023. Paper

2023-06-12

Deep Ultrasound Denoising Using Diffusion Probabilistic Models

Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz

arXiv 2023. Paper

2023-06-12

Deep Ultrasound Denoising Using Diffusion Probabilistic Models

Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz

arXiv 2023. Paper

2023-06-12

Fast Diffusion Model

Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang

arXiv 2023. Paper Github

2023-06-12

Language-Guided Traffic Simulation via Scene-Level Diffusion

Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

arXiv 2023. Paper

2023-06-10

Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model

Yida Chen, Fernanda Viégas, Martin Wattenberg

arXiv 2023. Paper

2023-06-09

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model

Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu

arXiv 2023. Paper Github

2023-06-09

Boosting GUI Prototyping with Diffusion Models

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray

arXiv 2023. Paper

2023-06-09

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models

Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li

arXiv 2023. Paper

2023-06-09

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles

Tal Daniel, Aviv Tamar

arXiv 2023. Paper

2023-06-09

PriSampler: Mitigating Property Inference of Diffusion Models

Hailong Hu, Jun Pang

arXiv 2023. Paper

2023-06-08

Stochastic Multi-Person 3D Motion Forecasting

Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui

arXiv 2023. Paper

2023-06-08

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind

arXiv 2023. Paper

2023-06-08

Grounded Text-to-Image Synthesis with Attention Refocusing

Quynh Phung, Songwei Ge, Jia-Bin Huang

arXiv 2023. Paper

2023-06-08

SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions

Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung

arXiv 2023. Paper Project Github

2023-06-08

Improving Tuning-Free Real Image Editing with Proximal Guidance

Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas

arXiv 2023. Paper

2023-06-08

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu

arXiv 2023. Paper

2023-06-08

Interpreting and Improving Diffusion Models Using the Euclidean Distance Function

Frank Permenter, Chenyang Yuan

arXiv 2023. Paper

2023-06-08

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu

arXiv 2023. Paper

2023-06-08

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi

arXiv 2023. Paper

2023-06-08

Phoenix: A Federated Generative Diffusion Model

Fiona Victoria Stanley Jothiraj, Afra Mashhadi

arXiv 2023. Paper

2023-06-07

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem

arXiv 2023. Paper Github

2023-06-07

Phoenix: A Federated Generative Diffusion Model

Fiona Victoria Stanley Jothiraj, Afra Mashhadi

arXiv 2023. Paper

2023-06-07

Synthesizing realistic sand assemblies with denoising diffusion in latent space

Nikolaos N. Vlassis, WaiChing Sun, Khalid A. Alshibli, Richard A. Regueiro

arXiv 2023. Paper

2023-06-07

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

arXiv 2023. Paper

2023-06-07

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models

Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

arXiv 2023. Paper

2023-06-07

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

arXiv 2023. Paper

2023-06-07

Designing a Better Asymmetric VQGAN for StableDiffusion

Zixin Zhu, Xuelu Feng, Dongdong Chen, Jianmin Bao, Le Wang, Yinpeng Chen, Lu Yuan, Gang Hua

arXiv 2023. Paper Github

2023-06-07

Multi-modal Latent Diffusion

Mustapha Bounoua, Giulio Franzese, Pietro Michiardi

arXiv 2023. Paper

2023-06-07

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt

Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung

arXiv 2023. Paper

2023-06-07

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance

Gihyun Kwon, Jong Chul Ye

arXiv 2023. Paper

2023-06-07

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance

Gihyun Kwon, Jong Chul Ye

arXiv 2023. Paper

2023-06-07

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery

Eleonora Grassucci, Sergio Barbarossa, Danilo Comminiello

arXiv 2023. Paper Github

2023-06-07

Emergent Correspondence from Image Diffusion

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

arXiv 2023. Paper

2023-06-06

High-dimensional and Permutation Invariant Anomaly Detection

Vinicius Mikuni, Benjamin Nachman

arXiv 2023. Paper

2023-06-06

Emergent Correspondence from Image Diffusion

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

arXiv 2023. Paper Project

2023-06-06

Change Diffusion: Change Detection Map Generation Based on Difference-Feature Guided DDPM

Yihan Wen, Jialu Sui, Xianping Ma, Wendi Liang, Xiaokang Zhang, Man-On Pun

arXiv 2023. Paper

2023-06-06

Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process

Sen Peng, Yufei Chen, Cong Wang, Xiaohua Jia

arXiv 2023. Paper

2023-06-06

Towards Visual Foundational Models of Physical Scenes

Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto

arXiv 2023. Paper

2023-06-06

Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi

arXiv 2023. Paper

2023-06-06

Towards Visual Foundational Models of Physical Scenes

Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto

arXiv 2023. Paper

2023-06-06

Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi

arXiv 2023. Paper

2023-06-06

DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Hefeng Wang, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang

arXiv 2023. Paper Github

2023-06-06

Enhance Diffusion to Improve Robust Generalization

Jianhui Sun, Sanchit Sinha, Aidong Zhang

arXiv 2023. Paper

2023-06-05

Stable Diffusion is Unstable

Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu

arXiv 2023. Paper

2023-06-05

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading

Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya

arXiv 2023. Paper Project

2023-06-05

HeadSculpt: Crafting 3D Head Avatars with Text

Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong

arXiv 2023. Paper Project

2023-06-05

Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions

Shaoxu Li

arXiv 2023. Paper

2023-06-05

Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark

Shuyu Yang, Yinan Zhou, Yaxiong Wang, Yujiao Wu, Li Zhu, Zhedong Zheng

arXiv 2023. Paper

2023-06-05

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques

Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, Gayeong Lee

arXiv 2023. Paper

2023-06-05

Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models

Muhammad Usman Akbar, Måns Larsson, Anders Eklund

arXiv 2023. Paper

2023-06-05

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models

Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis

arXiv 2023. Paper

2023-06-05

Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder

Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjivasiliou, Sophie Martin, James Cole

arXiv 2023. Paper

2023-06-05

INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems

Di You, Andreas Floros, Pier Luigi Dragotti

arXiv 2023. Paper

2023-06-05

Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching

Etrit Haxholli, Marco Lorenzi

arXiv 2023. Paper

2023-06-05

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

arXiv 2023. Paper

2023-06-05

Video Diffusion Models with Local-Global Context Guidance

Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He

IJCAI 2023. Paper Github

2023-06-05

Detector Guidance for Multi-Object Text-to-Image Generation

Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao

arXiv 2023. Paper

2023-06-04

Temporal Dynamic Quantization for Diffusion Models

Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park

arXiv 2023. Paper

2023-06-04

Training Data Attribution for Diffusion Models

Zheng Dai, David K Gifford

arXiv 2023. Paper

2023-06-03

Deep Classifier Mimicry without Data Access

Steven Braun, Martin Mundt, Kristian Kersting

arXiv 2023. Paper

2023-06-03

Word-Level Explanations for Analyzing Bias in Text-to-Image Models

Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju

arXiv 2023. Paper

2023-06-03

Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution

Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang

arXiv 2023. Paper

2023-06-03

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

arXiv 2023. Paper

2023-06-02

Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting

Mischa Dombrowski, Bernhard Kainz

arXiv 2023. Paper

2023-06-02

PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models

Jiacheng Chen, Ruizhi Deng, Yasutaka Furukawa

arXiv 2023. Paper

2023-06-02

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats

Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li

arXiv 2023. Paper

2023-06-02

Probabilistic Adaptation of Text-to-Video Models

Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel

arXiv 2023. Paper Project

2023-06-02

Video Colorization with Pre-trained Text-to-Image Diffusion Models

Hanyuan Liu, Minshan Xie, Jinbo Xing, Chengze Li, Tien-Tsin Wong

arXiv 2023. Paper

2023-06-02

Audio-Visual Speech Enhancement with Score-Based Generative Models

Julius Richter, Simone Frintrop, Timo Gerkmann

arXiv 2023. Paper

2023-06-02

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models

Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Cardoso

arXiv 2023. Paper

2023-06-02

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet

arXiv 2023. Paper

2023-06-02

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling

Zeqiang Lai, Yuchen Duan, Jifeng Dai, Ziheng Li, Ying Fu, Hongsheng Li, Yu Qiao, Wenhai Wang

arXiv 2023. Paper

2023-06-02

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

arXiv 2023. Paper

2023-06-02

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

arXiv 2023. Paper

2023-06-02

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu

arXiv 2023. Paper

2023-06-01

FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing, Tai Chi-Keung Tang

arXiv 2023. Paper

2023-06-01

Controllable Motion Diffusion Model

Yi Shi, Jingbo Wang, Xuekun Jiang, Bo Dai

arXiv 2023. Paper roject

2023-06-01

DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation

Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li

arXiv 2023. Paper

2023-06-01

AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars

Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B R, Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt

arXiv 2023. Paper

2023-06-01

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

arXiv 2023. Paper

2023-06-01

Diffusion Self-Guidance for Controllable Image Generation

Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski

arXiv 2023. Paper Project

2023-06-01

StyleDrop: Text-to-Image Generation in Any Style

Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan

arXiv 2023. Paper Project

2023-06-01

Intriguing Properties of Text-guided Diffusion Models

Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille

arXiv 2023. Paper

2023-06-01

Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models

Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Weidi Xie

arXiv 2023. Paper Project

2023-06-01

ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation

Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong

arXiv 2023. Paper Github

2023-06-01

The Hidden Language of Diffusion Models

Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

arXiv 2023. Paper Project

2023-06-01

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation

Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham

arXiv 2023. Paper Project Github

2023-06-01

Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance

Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, Ying Shan, Tien-Tsin Wong

arXiv 2023. Paper Project

2023-06-01

Inserting Anybody in Diffusion Models via Celeb Basis

Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng

arXiv 2023. Paper Project

2023-06-01

Wuerstchen: Efficient Pretraining of Text-to-Image Models

Pablo Pernias, Dominic Rampas, Marc Aubreville

arXiv 2023. Paper

2023-06-01

UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning

Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang

arXiv 2023. Paper

2023-06-01

FigGen: Text to Scientific Figure Generation

Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez

ICLR 2023. Paper

2023-06-01

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models

Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han

arXiv 2023. Paper

2023-06-01

Low-Light Image Enhancement with Wavelet-based Diffusion Models

Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, Shuaicheng Liu

arXiv 2023. Paper

2023-06-01

Addressing Negative Transfer in Diffusion Models

Hyojun Go, JinYoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi

arXiv 2023. Paper

2023-06-01

Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks

Natalie Abreu, Nathan Vaska, Victoria Helus

arXiv 2023. Paper

2023-06-01

Differential Diffusion: Giving Each Pixel Its Strength

Eran Levin, Ohad Fried

arXiv 2023. Paper

2023-06-01

Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation

Nico Giambi, Giuseppe Lisanti

arXiv 2023. Paper

2023-06-01

Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein

arXiv 2023. Paper Github

2023-05-31

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

arXiv 2023. Paper Github

2023-05-31

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model

Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo

arXiv 2023. Paper

2023-05-31

GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations

Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Dominik Lawatsch, Florian Domin, Maxim Schaubert

arXiv 2023. Paper

2023-05-31

Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images

Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun

arXiv 2023. Paper Project

2023-05-31

Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images

Peyman Gholami, Robert Xiao

arXiv 2023. Paper

2023-05-31

Understanding and Mitigating Copying in Diffusion Models

Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

CVPR 2023. Paper Github

2023-05-31

Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor

Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu

arXiv 2023. Paper Project

2023-05-31

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards

Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang

arXiv 2023. Paper Github

2023-05-31

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

Shaoyan Pan, Elham Abouei, Jacob Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang

arXiv 2023. Paper

2023-05-31

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models

Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel

arXiv 2023. Paper

2023-05-31

Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

Hasan Iqbal, Umar Khalid, Jing Hua, Chen Chen

arXiv 2023. Paper

2023-05-31

A Unified Conditional Framework for Diffusion-based Image Restoration

Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li

arXiv 2023. Paper

2023-05-31

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Hyungjin Chung, Jeongsol Kim, Jong Chul Ye

arXiv 2023. Paper

2023-05-31

A Geometric Perspective on Diffusion Models

Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang

arXiv 2023. Paper

2023-05-31

Spontaneous symmetry breaking in generative diffusion models

Gabriel Raya, Luca Ambrogioni

arXiv 2023. Paper

2023-05-31

Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling

Qisheng Liao, Gus Xia, Zhinuo Wang

arXiv 2023. Paper

2023-05-30

DiffMatch: Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

arXiv 2023. Paper Project

2023-05-30

Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection

Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon

arXiv 2023. Paper

2023-05-30

HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance

Junzhe Zhu, Peiye Zhuang

arXiv 2023. Paper

2023-05-30

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen

arXiv 2023. Paper

2023-05-30

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification

Yifei Liu, Rex Shen, Xiaotong Shen

arXiv 2023. Paper

2023-05-30

PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation

Jialu Li, Mohit Bansal

arXiv 2023. Paper Project Github

2023-05-30

Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models

Ernie Chu, Shuo-Yen Lin, Jun-Cheng Chen

arXiv 2023. Paper

2023-05-30

Nested Diffusion Processes for Anytime Image Generation

Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad

arXiv 2023. Paper

2023-05-30

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen

arXiv 2023. Paper

2023-05-30

HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance

Junzhe Zhu, Peiye Zhuang

arXiv 2023. Paper

2023-05-30

LayerDiffusion: Layered Controlled Image Editing with Diffusion Models

Pengzhi Li, QInxuan Huang, Yikang Ding, Zhiheng Li

arXiv 2023. Paper

2023-05-30

DiffSketching: Sketch Control Image Synthesis with Diffusion Models

Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi

arXiv 2023. Paper

2023-05-30

Real-World Image Variation by Aligning Diffusion Inversion Chain

Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia

arXiv 2023. Paper

2023-05-30

Towards Accurate Data-free Quantization for Diffusion Models

Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu

arXiv 2023. Paper

2023-05-30

Ambient Diffusion: Learning Clean Distributions from Corrupted Data

Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam Klivans

arXiv 2023. Paper

2023-05-30

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

arXiv 2023. Paper

2023-05-30

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification

Yifei Liu, Rex Shen, Xiaotong Shen

arXiv 2023. Paper

2023-05-30

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji

arXiv 2023. Paper

2023-05-29

GlyphControl: Glyph Conditional Control for Visual Text Generation

Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen

arXiv 2023. Paper Github

2023-05-29

Generative Diffusion for 3D Turbulent Flows

Marten Lienen, Jan Hansen-Palmus, David Lüdke, Stephan Günnemann

arXiv 2023. Paper

2023-05-29

Generating Driving Scenes with Diffusion

Ethan Pronovost, Kai Wang, Nick Roy

arXiv 2023. Paper

2023-05-29

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed

arXiv 2023. Paper

2023-05-29

On Diffusion Modeling for Anomaly Detection

Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh

arXiv 2023. Paper

2023-05-29

Conditional Diffusion Models for Semantic 3D Medical Image Synthesis

Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao

arXiv 2023. Paper

2023-05-29

Controllable Text-to-Image Generation with GPT-4

Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang

arXiv 2023. Paper

2023-05-29

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

arXiv 2023. Paper

2023-05-29

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

arXiv 2023. Paper Project

2023-05-29

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li

arXiv 2023. Paper Github

2023-05-29

Text-Only Image Captioning with Multi-Context Data Generation

Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun

arXiv 2023. Paper

2023-05-29

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka

arXiv 2023. Paper

2023-05-29

Conditional Score Guidance for Text-Driven Image-to-Image Translation

Hyunsoo Lee, Minsoo Kang, Bohyung Han

arXiv 2023. Paper

2023-05-29

Conditional Diffusion Models for Semantic 3D Medical Image Synthesis

Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao

arXiv 2023. Paper

2023-05-29

Photoswap: Personalized Subject Swapping in Images

Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang

arXiv 2023. Paper Project

2023-05-29

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

arXiv 2023. Paper

2023-05-29

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham

arXiv 2023. Paper Github

2023-05-29

BRIGHT: Bi-level Feature Representation of Image Collections using Groups of Hash Tables

Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang

arXiv 2023. Paper Project

2023-05-29

Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models

Zizhao Hu, Mohammad Rostami

NeurIPS 2023. Paper

2023-05-28

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling

Tianqi Chen, Mingyuan Zhou

ICML 2023. Paper Github

2023-05-28

Towards Consistent Video Editing with Text-to-Image Diffusion Models

Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu

arXiv 2023. Paper

2023-05-27

FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

arXiv 2023. Paper

2023-05-27

Text-to-image Editing by Image Information Removal

Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer

arXiv 2023. Paper

2023-05-27

CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography

Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang

arXiv 2023. Paper Github

2023-05-26

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

arXiv 2023. Paper

2023-05-26

High-Fidelity Image Compression with Score-based Generative Models

Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis

arXiv 2023. Paper

2023-05-26

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

Fei Kong, Jinhao Duan, RuiPeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

arXiv 2023. Paper

2023-05-26

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing

Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu

arXiv 2023. Paper Project

2023-05-26

Improved Visual Story Generation with Adaptive Context Modeling

Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin

arXiv 2023. Paper

2023-05-26

Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Daiki Miyake, Akihiro Iohara, Yu Saito, Toshiyuki Tanaka

arXiv 2023. Paper

2023-05-26

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling

Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang

arXiv 2023. Paper

2023-05-26

Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens

arXiv 2023. Paper

2023-05-26

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition

Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo

arXiv 2023. Paper

2023-05-25

Knowledge Diffusion for Distillation

Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

arXiv 2023. Paper Github

2023-05-25

Anomaly Detection in Satellite Videos using Diffusion Models

Akash Awasthi, Son Ly, Jaer Nizam, Samira Zare, Videet Mehta, Safwan Ahmed, Keshav Shah, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen

arXiv 2023. Paper

2023-05-25

Anomaly Detection with Conditioned Denoising Diffusion Models

Arian Mousakhan, Thomas Brox, Jawad Tayyub

arXiv 2023. Paper

2023-05-25

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang

arXiv 2023. Paper

2023-05-25

Differentially Private Latent Diffusion Models

Saiyue Lyu, Margarita Vinaroz, Michael F. Liu, Mijung Park

arXiv 2023. Paper

2023-05-25

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen

arXiv 2023. Paper Github

2023-05-25

Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)

Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang, Chun-Yi Lee

arXiv 2023. Paper

2023-05-25

DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification

Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu

arXiv 2023. Paper

2023-05-25

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

arXiv 2023. Paper Project

2023-05-25

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs

Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam

arXiv 2023. Paper

2023-05-25

NAP: Neural 3D Articulation Prior

Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis

arXiv 2023. Paper Project

2023-05-25

ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image

Zhenzhen Weng, Zeyu Wang, Serena Yeung

arXiv 2023. Paper

2023-05-25

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy

arXiv 2023. Paper Github

2023-05-25

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

arXiv 2023. Paper

2023-05-25

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong

arXiv 2023. Paper Project Github

2023-05-25

Parallel Sampling of Diffusion Models

Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

arXiv 2023. Paper Github

2023-05-25

Break-A-Scene: Extracting Multiple Concepts from a Single Image

Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski

arXiv 2023. Paper Project

2023-05-25

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

arXiv 2023. Paper Github

2023-05-25

Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models

Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi

arXiv 2023. Paper Github

2023-05-25

ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation

Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu

arXiv 2023. Paper

2023-05-25

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

arXiv 2023. Paper Project

2023-05-25

On Architectural Compression of Text-to-Image Diffusion Models

Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi

arXiv 2023. Paper

2023-05-25

Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon

arXiv 2023. Paper

2023-05-25

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

arXiv 2023. Paper

2023-05-25

GenerateCT: Text-Guided 3D Chest CT Generation

Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Furkan Almas, Sevval Nil Esirgun, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Bjoern Menze

arXiv 2023. Paper Github

2023-05-25

Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos

Matthew Chang, Aditya Prakash, Saurabh Gupta

arXiv 2023. Paper Project

2023-05-25

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

arXiv 2023. Paper

2023-05-25

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

arXiv 2023. Paper Github

2023-05-25

DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification

Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu

arXiv 2023. Paper

2023-05-25

Unifying GANs and Score-Based Diffusion as Generative Particle Models

Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

arXiv 2023. Paper

2023-05-25

UDPM: Upsampling Diffusion Probabilistic Models

Shady Abu-Hussein, Raja Giryes

arXiv 2023. Paper

2023-05-25

Parallel Sampling of Diffusion Models

Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

arXiv 2023. Paper Github

2023-05-25

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet

arXiv 2023. Paper

2023-05-25

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

arXiv 2023. Paper Project

2023-05-24

Unsupervised Semantic Correspondence Using Stable Diffusion

Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

arXiv 2023. Paper

2023-05-24

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng

arXiv 2023. Paper Project Github

2023-05-24

Manifold Diffusion Fields

Ahmed A. Elhag, Joshua M. Susskind, Miguel Angel Bautista

arXiv 2023. Paper

2023-05-24

Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models

Xinhang Liu, Shiu-hong Kao, Jiaben Chen, Yu-Wing Tai, Chi-Keung Tang

arXiv 2023. Paper

2023-05-24

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach

arXiv 2023. Paper

2023-05-24

ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation

Dongxu Yue, Qin Guo, Munan Ning, Jiaxi Cui, Yuesheng Zhu, Li Yuan

arXiv 2023. Paper

2023-05-24

DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models

Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn

arXiv 2023. Paper Github

2023-05-24

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors

Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

arXiv 2023. Paper

2023-05-24

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Dongxu Li, Junnan Li, Steven C. H. Hoi

arXiv 2023. Paper

2023-05-24

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu

arXiv 2023. Paper

2023-05-24

Unpaired Image-to-Image Translation via Neural Schr\"odinger Bridge

Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye

arXiv 2023. Paper Github

2023-05-24

Training on Thin Air: Improve Image Classification with Generated Data

Yongchao Zhou, Hshmat Sahak, Jimmy Ba

arXiv 2023. Paper Project Github

2023-05-24

On the Generalization of Diffusion Model

Mingyang Yi, Jiacheng Sun, Zhenguo Li

arXiv 2023. Paper

2023-05-24

Robust Classification via a Single Diffusion Model

Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

arXiv 2023. Paper

2023-05-24

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens

arXiv 2023. Paper

2023-05-24

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion

Taesun Yeom, Minhyeok Lee

arXiv 2023. Paper

2023-05-24

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection

Jiang Liu, Chun Pong Lau, Rama Chellappa

arXiv 2023. Paper

2023-05-23

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence

Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

arXiv 2023. Paper Project

2023-05-23

Realistic Noise Synthesis with Diffusion Models

Qi Wu, Mingyan Han, Ting Jiang, Haoqiang Fan, Bing Zeng, Shuaicheng Liu

arXiv 2023. Paper

2023-05-23

DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models

Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen

arXiv 2023. Paper

2023-05-23

Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models

Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu

arXiv 2023. Paper

2023-05-23

Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models

Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin

arXiv 2023. Paper

2023-05-23

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang

arXiv 2023. Paper

2023-05-23

Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models

Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin

arXiv 2023. Paper

2023-05-23

Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models

Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu

arXiv 2023. Paper

2023-05-23

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Long Lian, Boyi Li, Adam Yala, Trevor Darrell

arXiv 2023. Paper

2023-05-23

WaveDM: Wavelet-Based Diffusion Models for Image Restoration

Yi Huang, Jiancheng Huang, Jianzhuang Liu, Yu Dong, Jiaxi Lv, Shifeng Chen

arXiv 2023. Paper

2023-05-23

SAR-to-Optical Image Translation via Thermodynamics-inspired Network

Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao

arXiv 2023. Paper

2023-05-23

GSURE-Based Diffusion Model Training with Corrupted Data

Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad

arXiv 2023. Paper Github

2023-05-22

Mist: Towards Improved Adversarial Examples for Diffusion Models

Chumeng Liang, Xiaoyu Wu

arXiv 2023. Paper

2023-05-22

Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space

BoYang Zheng

arXiv 2023. Paper

2023-05-22

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models

Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo

arXiv 2023. Paper

2023-05-22

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara

arXiv 2023. Paper

2023-05-22

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering

Megha Chakraborty, Khusbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit Sheth, Amitava Das

arXiv 2023. Paper

2023-05-22

Training Diffusion Models with Reinforcement Learning

Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

arXiv 2023. Paper

2023-05-22

If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection

Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata

arXiv 2023. Paper Project

2023-05-22

ControlVideo: Training-free Controllable Text-to-Video Generation

Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo, Qi Tian

arXiv 2023. Paper Github

2023-05-22

AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation

Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz

arXiv 2023. Paper

2023-05-22

The CLIP Model is Secretly an Image-to-Prompt Converter

Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu

arXiv 2023. Paper

2023-05-22

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?

Zheng Li, Yuxuan Li, Penghai Zhao, Renjie Song, Xiang Li, Jian Yang

arXiv 2023. Paper Github

2023-05-22

VDT: An Empirical Study on Video Diffusion with Transformers

Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding

arXiv 2023. Paper Github

2023-05-22

DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model

Xiangrong Zhang, Shunli Tian, Guanchun Wang, Huiyu Zhou, Licheng Jiao

arXiv 2023. Paper

2023-05-21

Watermarking Diffusion Model

Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang

arXiv 2023. Paper

2023-05-21

Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion

Jiarui Sun, Girish Chowdhary

arXiv 2023. Paper

2023-05-21

GMD: Controllable Human Motion Synthesis via Guided Diffusion Models

Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang

arXiv 2023. Paper Project

2023-05-21

InstructVid2Vid: Controllable Video Editing with Natural Language Instructions

Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang

arXiv 2023. Paper

2023-05-21

SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters

Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao

arXiv 2023. Paper

2023-05-20

Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs

Mengze Xu, Jie Ma, Yuanyuan Zhu

arXiv 2023. Paper Github

2023-05-20

Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model

Jie Yang, Bingliang Li, Fengyu Yang, Ailing Zeng, Lei Zhang, Ruimao Zhang

arXiv 2023. Paper

2023-05-20

Incomplete Multi-view Clustering via Diffusion Completion

Sifan Fang

arXiv 2023. Paper

2023-05-19

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

arXiv 2023. Paper

2023-05-19

Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models

Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo

arXiv 2023. Paper Project

2023-05-19

Few-shot 3D Shape Generation

Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan

arXiv 2023. Paper

2023-05-19

Late-Constraint Diffusion Guidance for Controllable Image Synthesis

Chang Liu, Dong Liu

arXiv 2023. Paper Project Github

2023-05-19

Any-to-Any Generation via Composable Diffusion

Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal

arXiv 2023. Paper Project Github

2023-05-19

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

arXiv 2023. Paper

2023-05-19

Brain Captioning: Decoding human brain activity into images and text

Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi

arXiv 2023. Paper

2023-05-19

Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots

Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun

arXiv 2023. Paper

2023-05-19

Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity

Zijiao Chen, Jiaxin Qing, Juan Helen Zhou

arXiv 2023. Paper Project

2023-05-19

DiffUTE: Universal Text Editing Diffusion Model

Chen, Haoxing, Xu, Zhuoer, Gu, Zhangxuan, Lan, Jun, Zheng, Xing, Li, Yaohui, Meng, Changhua, Zhu, Huijia, Wang, Weiqiang

arXiv 2023. Paper Github

2023-05-18

Constructing a personalized AI assistant for shear wall layout using Stable Diffusion

Lufeng Wang, Jiepeng Liu, Guozhong Cheng, En Liu, Wei Chen

arXiv 2023. Paper

2023-05-18

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg

arXiv 2023. Paper

2023-05-18

Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization

Yihao Huang, Qing Guo, Felix Juefei-Xu

arXiv 2023. Paper

2023-05-18

Content-based Unrestricted Adversarial Attack

Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang

arXiv 2023. Paper

2023-05-18

LDM3D: Latent Diffusion Model for 3D

Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal

arXiv 2023. Paper

2023-05-18

RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture

Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao

arXiv 2023. Paper

2023-05-18

Discriminative Diffusion Models as Few-shot Vision and Language Learners

Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang

arXiv 2023. Paper

2023-05-18

Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization

Yihao Huang, Qing Guo, Felix Juefei-Xu

arXiv 2023. Paper

2023-05-18

AIwriting: Relations Between Image Generation and Digital Writing

Scott Rettberg, Talan Memmott, Jill Walker Rettberg, Jason Nelson, Patrick Lichty

ISEA 2023. Paper

2023-05-18

TextDiffuser: Diffusion Models as Text Painters

Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei

arXiv 2023. Paper

2023-05-18

VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation

Wenjing Wang, Huan Yang, Zixi Tuo, Huiguo He, Junchen Zhu, Jianlong Fu, Jiaying Liu

arXiv 2023. Paper

2023-05-18

LDM3D: Latent Diffusion Model for 3D

Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal

arXiv 2023. Paper

2023-05-18

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

Yixiong Chen

arXiv 2023. Paper Github

2023-05-18

Inspecting the Geographical Representativeness of Images from Text-to-Image Models

Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi

arXiv 2023. Paper

2023-05-18

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

arXiv 2023. Paper

2023-05-18

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling

Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu

arXiv 2023. Paper

2023-05-18

Structural Pruning for Diffusion Models

Gongfan Fang, Xinyin Ma, Xinchao Wang

arXiv 2023. Paper Github

2023-05-18

PTQD: Accurate Post-Training Quantization for Diffusion Models

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

arXiv 2023. Paper

2023-05-18

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Javier E Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin

arXiv 2023. Paper

2023-05-18

Raising the Bar for Certified Adversarial Robustness with Diffusion Models

Thomas Altstidl, David Dobre, Björn Eskofier, Gauthier Gidel, Leo Schwinn

arXiv 2023. Paper

2023-05-17

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji

arXiv 2023. Paper Project

2023-05-17

Pyramid Diffusion Models For Low-light Image Enhancement

Dewei Zhou, Zongxin Yang, Yi Yang

arXiv 2023. Paper

2023-05-17

Controllable Mind Visual Diffusion Model

Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

arXiv 2023. Paper

2023-05-17

Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection

Andrew Farley, Mohsen Zand, Michael Greenspan

CRV 2023. Paper

2023-05-16

CDDM: Channel Denoising Diffusion Models for Wireless Communications

Tong Wu, Zhiyong Chen, Dazhi He, Liang Qian, Yin Xu, Meixia Tao, Wenjun Zhang

arXiv 2023. Paper

2023-05-16

Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples

Wan Jiang, Yunfeng Diao, He Wang, Jianxin Sun, Meng Wang, Richang Hong

arXiv 2023. Paper

2023-05-16

A Method for Training-free Person Image Picture Generation

Tianyu Chen

ICOAI 2023. Paper

2023-05-16

Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?

Pareesa Ameneh Golnari, Zhewei Yao, Yuxiong He

arXiv 2023. Paper

2023-05-16

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li

arXiv 2023. Paper

2023-05-16

FitMe: Deep Photorealistic 3D Morphable Model Avatars

Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Jiankang Deng, Stefanos Zafeiriou

CVPR 2023. Paper Project

2023-05-16

Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation

Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta

arXiv 2023. Paper Project

2023-05-16

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li

arXiv 2023. Paper

2023-05-16

Generating coherent comic with rich story using ChatGPT and Stable Diffusion

Ze Jin, Zorina Song

arXiv 2023. Paper

2023-05-16

Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation

Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta

arXiv 2023. Paper Project

2023-05-16

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model

Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning

arXiv 2023. Paper Github

2023-05-16

A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang

arXiv 2023. Paper

2023-05-16

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model

Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning

arXiv 2023. Paper Github

2023-05-16

Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

Antoni Bigata Casademunt, Rodrigo Mira, Nikita Drobyshev, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

arXiv 2023. Paper

2023-05-15

A Reproducible Extraction of Training Images from Diffusion Models

Ryan Webster

arXiv 2023. Paper Github

2023-05-15

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts

Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee

arXiv 2023. Paper Project Github

2023-05-15

Common Diffusion Noise Schedules and Sample Steps are Flawed

Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

arXiv 2023. Paper

2023-05-15

Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models

Krishna Sri Ipsit Mantri, Nevasini Sasikumar

arXiv 2023. Paper

2023-05-15

Denoising Diffusion Models for Plug-and-Play Image Restoration

Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool

arXiv 2023. Paper Github

2023-05-15

Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures

Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin

arXiv 2023. Paper

2023-05-14

On enhancing the robustness of Vision Transformers: Defensive Diffusion

Raza Imam, Muhammad Huzaifa, Mohammed El-Amine Azz

arXiv 2023. Paper Github

2023-05-14

Diffusion Models for Imperceptible and Transferable Adversarial Attack

Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi

arXiv 2023. Paper Github

2023-05-14

Meta-DM: Applications of Diffusion Models on Few-Shot Learning

Wentao Hu, Xiurong Jiang, Jiarun Liu, Yuqi Yang, Hui Tian

arXiv 2023. Paper

2023-05-14

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain tumor images

Muhammad Usman Akbar, Wuhao Wang, Anders Eklund

arXiv 2023. Paper

2023-05-12

Undercover Deepfakes: Detecting Fake Segments in Videos

Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman Halgamuge

arXiv 2023. Paper Github

2023-05-11

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang

arXiv 2023. Paper Project Github

2023-05-11

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models

Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee

arXiv 2023. Paper

2023-05-11

Exploiting Diffusion Prior for Real-World Image Super-Resolution

Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy

arXiv 2023. Paper Project Github

2023-05-11

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang

arXiv 2023. Paper Project Github

2023-05-11

Text-guided High-definition Consistency Texture Model

Zhibin Tang, Tiantong He

arXiv 2023. Paper

2023-05-10

Relightify: Relightable 3D Faces from a Single Image via Diffusion Models

Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou

arXiv 2023. Paper Project

2023-05-10

iEdit: Localised Text-guided Image Editing with Weak Supervision

Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani

arXiv 2023. Paper

2023-05-10

Analyzing Bias in Diffusion-based Face Generation Models

Malsha V. Perera, Vishal M. Patel

arXiv 2023. Paper

2023-05-10

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

Žiga Babnik, Peter Peer, Vitomir Štruc

arXiv 2023. Paper

2023-05-09

Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools

Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm

arXiv 2023. Paper

2023-05-09

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models

Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin

arXiv 2023. Paper Github

2023-05-09

Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer

Nisha Huang, Yuxin Zhang, Weiming Dong

arXiv 2023. Paper

2023-05-09

Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation

David Stojanovski, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gomez

arXiv 2023. Paper

2023-05-09

Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation

David Stojanovski, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gomez

arXiv 2023. Paper

2023-05-09

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown

arXiv 2023. Paper

2023-05-08

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation

Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum

SIGGRAPH 2023. Paper

2023-05-08

DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models

Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao

IJCAI 2023. Paper Github

2023-05-08

IIITD-20K: Dense captioning for Text-Image ReID

A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey, Brejesh Lall

arXiv 2023. Paper

2023-05-08

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation

Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi

arXiv 2023. Paper Project

2023-05-08

Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han

arXiv 2023. Paper

2023-05-08

Atmospheric Turbulence Correction via Variational Deep Diffusion

Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos

arXiv 2023. Paper

2023-05-08

Controllable Light Diffusion for Portraits

David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless, Daniel Sýkora, Rohit Pandey

arXiv 2023. Paper

2023-05-08

DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration

Xinmin Qiu, Congying Han, ZiCheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie

arXiv 2023. Paper

2023-05-08

Real-World Denoising via Diffusion Model

Cheng Yang, Lijing Liang, Zhixun Su

arXiv 2023. Paper

2023-05-08

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation

Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi

arXiv 2023. Paper Project

2023-05-08

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su

arXiv 2023. Paper

2023-05-07

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su

arXiv 2023. Paper

2023-05-07

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

arXiv 2023. Paper

2023-05-07

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model

Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

arXiv 2023. Paper

2023-05-06

Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework

Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang

arXiv 2023. Paper

2023-05-06

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion

Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak

arXiv 2023. Paper

2023-05-06

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang

arXiv 2023. Paper

2023-05-06

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang

arXiv 2023. Paper

2023-05-06

DocDiff: Document Enhancement via Residual Diffusion Models

Zongyuan Yang, Baolin Liu, Yongping Xiong, Lan Yi, Guibin Wu, Xiaojun Tang, Ziqi Liu, Junjie Zhou, Xing Zhang

arXiv 2023. Paper Github

2023-05-06

LEO: Generative Latent Image Animator for Human Video Synthesis

Yaohui Wang, Xin Ma, Xinyuan Chen, Antitza Dantcheva, Bo Dai, Yu Qiao

arXiv 2023. Paper Project Github

2023-05-06

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

ICML 2023. Paper

2023-05-06

Conditional Diffusion Feature Refinement for Continuous Sign Language Recognition

Leming Guo, Wanli Xue, Qing Guo, Yuxi Zhou, Tiantian Yuan, Shengyong Chen

arXiv 2023. Paper

2023-05-05

Generative Steganography Diffusion

Ping Wei, Qing Zhou, Zichi Wang, Zhenxing Qian, Xinpeng Zhang, Sheng Li

arXiv 2023. Paper

2023-05-05

Data Curation for Image Captioning with Text-to-Image Generative Models

Wenyan Li, Jonas F. Lotz, Chen Qiu, Desmond Elliott

arXiv 2023. Paper

2023-05-05

DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation

Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu

arXiv 2023. Paper Project

2023-05-05

Guided Image Synthesis via Initial Image Editing in Diffusion Model

Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa

arXiv 2023. Paper

2023-05-05

Iterative α-(de)Blending: a Minimalist Deterministic Diffusion Model

Eric Heitz, Laurent Belcour, Thomas Chambon

SIGGRAPH 2023. Paper

2023-05-05

LayoutDM: Transformer-based Diffusion Model for Layout Generation

Shang Chai, Liansheng Zhuang, Fengying Yan

CVPR 2023. Paper

2023-05-04

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J Guibas

arXiv 2023. Paper Github

2023-05-04

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

arXiv 2023. Paper Project

2023-05-04

Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model

Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu

arXiv 2023. Paper

2023-05-04

Personalize Segment Anything Model with One Shot

Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, Hongsheng Li

arXiv 2023. Paper Github

2023-05-04

Personalize Segment Anything Model with One Shot

Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, Hongsheng Li

arXiv 2023. Paper Github

2023-05-04

Shap-E: Generating Conditional 3D Implicit Functions

Heewoo Jun, Alex Nichol

arXiv 2023. Paper Github

2023-05-03

Multimodal Data Augmentation for Image Captioning using Diffusion Models

Changrong Xiao, Sean Xin Xu, Kunpeng Zhang

arXiv 2023. Paper

2023-05-03

Long-Term Rhythmic Video Soundtracker

Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao

ICML 2023. Paper Github

2023-05-02

DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

arXiv 2023. Paper

2023-05-02

ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation

Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang

arXiv 2023. Paper Project

2023-05-02

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data

Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir

arXiv 2023. Paper

2023-05-02

High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model

Xuan Zhao, Benjamin Hou

MIDL 2023. Paper

2023-05-02

Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles

Yuanzheng Ma, Wangting Zhou, Rui Ma, Sihua Yang, Yansong Tang, Xun Guan

arXiv 2023. Paper

2023-05-02

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data

Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir

arXiv 2023. Paper

2023-05-02

Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles

Yuanzheng Ma, Wangting Zhou, Rui Ma, Sihua Yang, Yansong Tang, Xun Guan

arXiv 2023. Paper

2023-05-02

In-Context Learning Unlocked for Diffusion Models

Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou

arXiv 2023. Paper Project Github

2023-05-01

Class-Balancing Diffusion Models

Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang

CVPR 2023. Paper

2023-04-30

Reconstructing seen images from human brain activity via guided stochastic search

Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris

arXiv 2023. Paper

2023-04-30

SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis

Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab

arXiv 2023. Paper

2023-04-28

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features

Nurislam Tursynbek, Marc Niethammer

arXiv 2023. Paper

2023-04-28

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis

Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L.J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang

arXiv 2023. Paper

2023-04-28

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features

Nurislam Tursynbek, Marc Niethammer

arXiv 2023. Paper

2023-04-28

Putting People in Their Place: Affordance-Aware Human Insertion into Scenes

Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh

CVPR 2023. Paper Project Github

2023-04-27

Learning a Diffusion Prior for NeRFs

Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole

ICLR Workshop 2023. Paper

2023-04-27

It is all about where you start: Text-to-image generation with seed selection

Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

arXiv 2023. Paper

2023-04-27

Edit Everything: A Text-Guided Generative System for Images Editing

Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, Xiaodong Lin

arXiv 2023. Paper Github

2023-04-27

Motion-Conditioned Diffusion Model for Controllable Video Synthesis

Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang

arXiv 2023. Paper Project

2023-04-27

Single-View Height Estimation with Conditional Diffusion Probabilistic Models

Isaac Corley, Peyman Najafirad

arXiv 2023. Paper

2023-04-26

Training-Free Location-Aware Text-to-Image Synthesis

Jiafeng Mao, Xueting Wang

arXiv 2023. Paper

2023-04-26

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, Kevin Zhou

arXiv 2023. Paper Github

2023-04-26

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, Kevin Zhou

arXiv 2023. Paper Github

2023-04-26

Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation

Zihao Wang

arXiv 2023. Paper

2023-04-26

Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design

Zezhou Zhang, Chuanchuan Yang, Yifeng Qin, Hao Feng, Jiqiang Feng, Hongbin Li

arXiv 2023. Paper

2023-04-25

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou

arXiv 2023. Paper

2023-04-25

Exploring Compositional Visual Generation with Latent Classifier Guidance

Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min

CVPR Workshop 2023. Paper

2023-04-25

Improving Synthetically Generated Image Detection in Cross-Concept Settings

Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos

arXiv 2023. Paper

2023-04-24

TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari

arXiv 2023. Paper

2023-04-24

TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari

arXiv 2023. Paper

2023-04-24

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation

Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu

arXiv 2023. Paper

2023-04-24

Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb

arXiv 2023. Paper

2023-04-24

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

arXiv 2023. Paper

2023-04-23

LaMD: Latent Motion Diffusion for Video Generation

Yaosi Hu, Zhenzhong Chen, Chong Luo

arXiv 2023. Paper

2023-04-23

Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis

Yansong Gao, Zhihong Pan, Xin Zhou, Le Kang, Pratik Chaudhari

arXiv 2023. Paper

2023-04-22

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation

Guoqiang Zhang, Niwa Kenta, W. Bastiaan Kleijn

CVPR 2023. Paper Github

2023-04-22

Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations

Yu-Hui Chen, Raman Sarokin, Juhyun Lee, Jiuqiang Tang, Chuo-Ling Chang, Andrei Kulik, Matthias Grundmann

CVPR 2023 Workshop. Paper

2023-04-21

Improved Diffusion-based Image Colorization via Piggybacked Models

Hanyuan Liu, Jinbo Xing, Minshan Xie, Chengze Li, Tien-Tsin Wong

arXiv 2023. Paper Project

2023-04-21

A data augmentation perspective on diffusion models and retrieval

Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell

arXiv 2023. Paper

2023-04-20

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion

Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

arXiv 2023. Paper Project

2023-04-20

Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs

Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa

arXiv 2023. Paper Project Github

2023-04-20

Using Text-to-Image Generation for Architectural Design Ideation

Ville Paananen, Jonas Oppenlaender, Aku Visuri

arXiv 2023. Paper

2023-04-20

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Qiuhong Shen, Xingyi Yang, Xinchao Wang

arXiv 2023. Paper

2023-04-19

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Qiuhong Shen, Xingyi Yang, Xinchao Wang

arXiv 2023. Paper Github

2023-04-19

Denoising Diffusion Medical Models

Pham Ngoc Huy, Tran Minh Quan

IEEE ISBI 2023. Paper

2023-04-19

Realistic Data Enrichment for Robust Image Segmentation in Histopathology

Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz

arXiv 2023. Paper

2023-04-19

DiFaReli: Diffusion Face Relighting

Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn

arXiv 2023. Paper Project

2023-04-19

Realistic Data Enrichment for Robust Image Segmentation in Histopathology

Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz

arXiv 2023. Paper

2023-04-19

Denoising Diffusion Medical Models

Pham Ngoc Huy, Tran Minh Quan

IEEE ISBI 2023. Paper

2023-04-19

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models

Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

CVPR 2023. Paper

2023-04-19

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

Soon Yau Cheong, Armin Mustafa, Andrew Gilbert

arXiv 2023. Paper Github

2023-04-18

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models

Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu

arXiv 2023. Paper

2023-04-18

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis

CVPR 2023. Paper Project

2023-04-18

Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model

Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu

CVPR 2023. Paper Project Github

2023-04-17

Text2Performer: Text-Driven Human Video Generation

Yuming Jiang, Shuai Yang, Tong Liang Koh, Wayne Wu, Chen Change Loy, Ziwei Liu

arXiv 2023. Paper Project

2023-04-17

Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

Jie An, Songyang Zhang, Harry Yang, Sonal Gupta, Jia-Bin Huang, Jiebo Luo, Xi Yin

arXiv 2023. Paper Project

2023-04-17

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, Yinqiang Zheng

arXiv 2023. Paper Github

2023-04-17

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

arXiv 2023. Paper Github

2023-04-17

Synthetic Data from Diffusion Models Improves ImageNet Classification

Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet

arXiv 2023. Paper

2023-04-17

OVTrack: Open-Vocabulary Multiple Object Tracking

Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu

arXiv 2023. Paper

2023-04-17

Attributing Image Generative Models using Latent Fingerprints

Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren

arXiv 2023. Paper

2023-04-17

Towards Controllable Diffusion Models via Reward-Guided Exploration

Hengtong Zhang, Tingyang Xu

arXiv 2023. Paper

2023-04-14

Text-Conditional Contextualized Avatars For Zero-Shot Personalization

Samaneh Azadi, Thomas Hayes, Akbar Shah, Guan Pang, Devi Parikh, Sonal Gupta

arXiv 2023. Paper

2023-04-14

Delta Denoising Score

Amir Hertz, Kfir Aberman, Daniel Cohen-Or

arXiv 2023. Paper Project

2023-04-14

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu

arXiv 2023. Paper Github

2023-04-14

Memory Efficient Diffusion Probabilistic Models via Patch-based Generation

Shinei Arakawa, Hideki Tsunashima, Daichi Horita, Keitaro Tanaka, Shigeo Morishima

arXiv 2023. Paper

2023-04-14

Identity Encoder for Personalized Diffusion

Yu-Chuan Su, Kelvin C.K. Chan, Yandong Li, Yang Zhao, Han Zhang, Boqing Gong, Huisheng Wang, Xuhui Jia

arXiv 2023. Paper

2023-04-14

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

arXiv 2023. Paper Project

2023-04-13

Learning Controllable 3D Diffusion Models from Single-view Images

Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh Susskind

arXiv 2023. Paper Project

2023-04-13

Soundini: Sound-Guided Diffusion for Natural Video Editing

Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim

arXiv 2023. Paper Project

2023-04-13

Expressive Text-to-Image Generation with Rich Text

Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang

arXiv 2023. Paper Project Github

2023-04-13

Inpaint Anything: Segment Anything Meets Image Inpainting

Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen

arXiv 2023. Paper Github

2023-04-13

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang

CVPR 2023. Paper Project Github

2023-04-13

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

arXiv 2023. Paper

2023-04-13

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

arXiv 2023. Paper

2023-04-13

Diffusion models with location-scale noise

Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman

arXiv 2023. Paper

2023-04-12

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci

arXiv 2023. Paper

2023-04-12

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang

arXiv 2023. Paper Project

2023-04-12

InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions

Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, Lan Xu

arXiv 2023. Paper Github

2023-04-12

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang

arXiv 2023. Paper Project

2023-04-12

Improving Diffusion Models for Scene Text Editing with Dual Encoders

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang

arXiv 2023. Paper Github

2023-04-12

An Edit Friendly DDPM Noise Space: Inversion and Manipulations

Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli

arXiv 2023. Paper

2023-04-12

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin

arXiv 2023. Paper Project

2023-04-12

Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging

Chi-en Amy Tai, Hayden Gunraj, Alexander Wong

arXiv 2023. Paper

2023-04-12

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data

Chi-en Amy Tai, Hayden Gunraj, Alexander Wong

arXiv 2023. Paper

2023-04-12

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman

arXiv 2023. Paper Project Github

2023-04-12

CamDiff: Camouflage Image Augmentation via Diffusion Model

Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool

arXiv 2023. Paper Github

2023-04-11

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou

arXiv 2023. Paper Project

2023-04-11

HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models

Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny

arXiv 2023. Paper Project

2023-04-11

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou

arXiv 2023. Paper

2023-04-11

Mask-conditioned latent diffusion for generating gastrointestinal polyp images

Roman Macháček, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita

arXiv 2023. Paper

2023-04-11

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

arXiv 2023. Paper

2023-04-11

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

arXiv 2023. Paper

2023-04-11

DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion

ZiHan Cao, ShiQi Cao, Xiao Wu, JunMing Hou, Ran Ran, Liang-Jian Deng

arXiv 2023. Paper

2023-04-10

Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models

Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko

arXiv 2023. Paper

2023-04-10

Ambiguous Medical Image Segmentation using Diffusion Models

Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel

CVPR 2023. Paper Github

2023-04-10

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

Tao Chen, Chenhui Wang, Hongming Shan

arXiv 2023. Paper

2023-04-10

Ambiguous Medical Image Segmentation using Diffusion Models

Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel

CVPR 2023. Paper Github

2023-04-10

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

Tao Chen, Chenhui Wang, Hongming Shan

arXiv 2023. Paper

2023-04-10

Binary Latent Diffusion

Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

arXiv 2023. Paper

2023-04-10

Reflected Diffusion Models

Aaron Lou, Stefano Ermon

ICML 2023. Paper Project Github

2023-04-10

CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model

Zhongqi Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan

arXiv 2023. Paper

2023-04-09

NeRF applied to satellite imagery for surface reconstruction

Federico Semeraro, Yi Zhang, Wenying Wu, Patrick Carroll

arXiv 2023. Paper Github

2023-04-09

HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu

arXiv 2023. Paper Github

2023-04-09

Towards Realistic Ultrasound Fetal Brain Imaging Synthesis

Michelle Iskandar, Harvey Mannering, Zhanxiang Sun, Jacqueline Matthew, Hamideh Kerdegari, Laura Peralta, Miguel Xochicale

arXiv 2023. Paper Gitub

2023-04-08

MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation

Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James Duncan, Xiaohui Xie

arxiv 2023. Paper Project

2023-04-08

ChiroDiff: Modelling chirographic data with Diffusion Models

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

ICLR 2023. Paper Project

2023-04-07

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis

Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang

arXiv 2023. Paper Github

2023-04-07

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior

Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

arXiv 2023. Paper

2023-04-07

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior

Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

arXiv 2023. Paper

2023-04-07

RoSteALS: Robust Steganography using Autoencoder Latent Space

Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse

CVPR Workshop 2023. Paper Github

2023-04-06

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun

arXiv 2023. Paper Project

2023-04-06

Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang

CVPR 2023. Paper Github

2023-04-06

Training-Free Layout Control with Cross-Attention Guidance

Minghao Chen, Iro Laina, Andrea Vedaldi

arXiv 2023. Paper Project Github

2023-04-06

Benchmarking Robustness to Text-Guided Corruptions

Mohammadreza Mofayezi, Yasamin Medghalchi

arXiv 2023. Paper

2023-04-06

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun

arXiv 2023. Paper Project

2023-04-06

SketchFFusion: Sketch-guided image editing with diffusion model

Weihang Mao, Bo Han, Zihao Wang

arXiv 2023. Paper

2023-04-06

Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar

arXiv 2023. Paper Project

2023-04-06

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

arXiv 2023. Paper Github

2023-04-06

Face Animation with an Attribute-Guided Diffusion Model

Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang

arXiv 2023. Paper

2023-04-06

Diffusion Models as Masked Autoencoders

Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer

arXiv 2023. Paper Project

2023-04-06

JPEG Compressed Images Can Bypass Protections Against AI Editing

Pedro Sandoval-Segura, Jonas Geiping, Tom Goldstein

arXiv 2023. Paper

2023-04-05

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein

arXiv 2023. Paper Project

2023-04-05

Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su

arXiv 2023. Paper

2023-04-05

A Diffusion-based Method for Multi-turn Compositional Image Generation

Chao Wang, Xiaoyu Yang, Jinmiao Huang, Kevin Ferreira

arXiv 2023. Paper

2023-04-05

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang

arXiv 2023. Paper

2023-04-05

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang

arXiv 2023. Paper

2023-04-05

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Marlène Careil, Jakob Verbeek, Stéphane Lathuilière

CVPR 2023. Paper

2023-04-05

PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion

Gwanghyun Kim, Ji Ha Jang, Se Young Chun

arXiv 2023. Paper Project

2023-04-04

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

CVPR 2023. Paper Github

2023-04-04

viz2viz: Prompt-driven stylized visualization generation using a diffusion model

Jiaqi Wu, John Joon Young Chung, Eytan Adar

arXiv 2023. Paper

2023-04-04

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara

arXiv 2023. Paper

2023-04-04

PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion

Gwanghyun Kim, Ji Ha Jang, Se Young Chun

arXiv 2023. Paper Project

2023-04-04

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models

Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang

arXiv 2023. Paper

2023-04-04

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

arXiv 2023. Paper

2023-04-04

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution

Brian Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

arXiv 2023. Paper

2023-04-04

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

arXiv 2023. Paper

2023-04-04

EGC: Image Generation and Classification via a Diffusion Energy-Based Model

Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo

arxiv 2023. Paper Project

2023-04-04

Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models

Carolina Higuera, Byron Boots, Mustafa Mukadam

arXiv 2023. Paper

2023-04-03

A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion

Haomin Zhuang, Yihua Zhang, Sijia Liu

CVPR Workshop 2023. Paper

2023-04-03

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong

arXiv 2023. Paper

2023-04-03

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models

Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman

arXiv 2023. Paper

2023-04-03

ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu

arXiv 2023. Paper Project Github

2023-04-03

ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu

arXiv 2023. Paper Project Github

2023-04-03

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong

arXiv 2023. Paper

2023-04-03

ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis

Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna

MICCAI 2023. Paper

2023-04-03

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai

CVPR 2023. Paper

2023-04-03

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara

ACM 2023. Paper

2023-04-02

Textile Pattern Generation Using Diffusion Models

Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gozde Unal

ITFC 2023. Paper

2023-04-02

NeuroDAVIS: A neural network model for data visualization

Chayan Maitra, Dibyendu B. Seal, Rajat K. De

arXiv 2023. Paper

2023-04-01

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance

Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu

arXiv 2023. Paper Project

2023-04-01

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance

Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu

arXiv 2023. Paper Project

2023-04-01

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière

arXiv 2023. Paper

2023-03-31

Diffusion Action Segmentation

Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

arXiv 2023. Paper

2023-03-31

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently

Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin

arXiv 2023. Paper Project

2023-03-31

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models

Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz

arXiv 2023. Paper

2023-03-31

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model

Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo

arXiv 2023. Paper

2023-03-31

3D-aware Image Generation using 2D Diffusion Models

Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong

arXiv 2023. Paper Project

2023-03-31

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

arXiv 2023. Paper

2023-03-31

-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

Sam Bond-Taylor, Chris G. Willcocks

arXiv 2023. Paper

2023-03-31

DDP: Diffusion Model for Dense Visual Prediction

Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo

arXiv 2023. Paper

2023-03-30

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

arXiv 2023. Paper Project Github

2023-03-30

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

arXiv 2023. Paper Project Github

2023-03-30

PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models

Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi

arXiv 2023. Paper Github

2023-03-30

Social Biases through the Text-to-Image Generation Lens

Ranjita Naik, Besmira Nushi

arXiv 2023. Paper

2023-03-30

Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi

arXiv 2023. Paper Github

2023-03-30

DiffCollage: Parallel Generation of Large Content with Diffusion Models

Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu

CVPR 2023. Paper Project

2023-03-30

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen

arXiv 2023. Paper

2023-03-30

Discriminative Class Tokens for Text-to-Image Diffusion Models

Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge Belongie

arXiv 2023. Paper

2023-03-30

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder

Chenpng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian

arXiv 2023. Paper

2023-03-30

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li

CVPR 2023. Paper Github

2023-03-30

Consistent View Synthesis with Pose-Guided Diffusion Models

Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf

CVPR 2023. Paper

2023-03-30

DiffCollage: Parallel Generation of Large Content with Diffusion Models

Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu

CVPR 2023. Paper Project

2023-03-30

Token Merging for Fast Stable Diffusion

Daniel Bolya, Judy Hoffman

arXiv 2023. Paper Github

2023-03-30

WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models

Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki

arXiv 2023. Paper

2023-03-29

4D Facial Expression Diffusion Model

Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo

arXiv 2023. Paper Github

2023-03-29

HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images

Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy Mitra

CVPR 2023. Paper Project

2023-03-29

4D Facial Expression Diffusion Model

Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo

arXiv 2023. Paper Github

2023-03-29

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path

Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka

arXiv 2023. Paper Github

2023-03-29

Implicit Diffusion Models for Continuous Super-Resolution

Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang

CVPR 2023. Paper

2023-03-29

Visual Chain-of-Thought Diffusion Models

William Harvey, Frank Wood

arXiv 2023. Paper

2023-03-28

Novel View Synthesis of Humans using Differentiable Rendering

Guillaume Rochette, Chris Russell, Richard Bowden

IEEE T-BIOM 2023. Paper Github

2023-03-28

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion

Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira

arXiv 2023. Paper Project Github

2023-03-28

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion

Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira

arXiv 2023. Paper Github

2023-03-28

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang

arXiv 2023. Paper

2023-03-28

DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding

Xiaoyue Li, Kai Shang, Gaoang Wang, Mark D. Butala

arXiv 2023. Paper

2023-03-28

Your Diffusion Model is Secretly a Zero-Shot Classifier

Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

arXiv 2023. Paper Project

2023-03-28

Exploring Continual Learning of Diffusion Models

Michał Zając, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzciński, Florian Shkurti, Piotr Miłoś

arXiv 2023. Paper

2023-03-27

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, Teddy Furon

arXiv 2023. Paper Project

2023-03-27

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion

Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang

arXiv 2023. Paper

2023-03-27

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation

Susung Hong, Donghoon Ahn, Seungryong Kim

CVPR Workshop 2023. Paper

2023-03-27

Seer: Language Instructed Video Prediction with Latent Diffusion Models

Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao

CVPR Workshop 2023. Paper

2023-03-27

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation

Susung Hong, Donghoon Ahn, Seungryong Kim

arXiv 2023. Paper

2023-03-27

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc Tran, Anh Tran

SIGGRAPH 2023. Paper Github

2023-03-27

Diffusion Models for Memory-efficient Processing of 3D Medical Images

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin

MIDL 2023. Paper

2023-03-27

Training-free Style Transfer Emerges from h-space in Diffusion models

Jaeseok Jeong, Mingi Kwon, Youngjung Uh

arXiv 2023. Paper Project Github

2023-03-27

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection

Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Guennemann

arXiv 2023. Paper

2023-03-27

Text-to-Image Diffusion Models are Zero-Shot Classifiers

Kevin Clark, Priyank Jaini

arXiv 2023. Paper

2023-03-27

GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents

Tenglong Ao, Zeyi Zhang, Libin Liu

arXiv 2023. Paper

2023-03-26

Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

Xiaofei Wang, Stephen Price, Chao Li

arXiv 2023. Paper

2023-03-26

Freestyle Layout-to-Image Synthesis

Han Xue, Zhiwu Huang, Qianru Sun, Li Song, Wenjun Zhang

CVPR 2023. Paper

2023-03-25

Better Aligning Text-to-Image Models with Human Preference

Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li

arXiv 2023. Paper Github

2023-03-25

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

arXiv 2023. Paper

2023-03-25

Masked Diffusion Transformer is a Strong Image Synthesizer

Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan

arXiv 2023. Paper Github

2023-03-25

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia

arXiv 2023. Paper Project Github

2023-03-24

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang

arXiv 2023. Paper Project

2023-03-24

ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

ICLR 2023. Paper

2023-03-24

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen

arXiv 2023. Paper Project Github

2023-03-24

ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

ICLR 2023. Paper

2023-03-24

DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis

Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner

arXiv 2023. Paper Project

2023-03-24

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang

arXiv 2023. Paper Project

2023-03-24

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia

arXiv 2023. Paper

2023-03-24

CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li

arXiv 2023. Paper

2023-03-24

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion

Yizhuo Lu, Changde Du, Dianpeng Wang, Huiguang He

arXiv 2023. Paper

2023-03-24

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Jordan J. Bird, Ahmad Lotfi

arXiv 2023. Paper

2023-03-24

Conditional Image-to-Video Generation with Latent Flow Diffusion Models

Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min

CVPR 2023. Paper Github

2023-03-24

Controllable Inversion of Black-Box Face-Recognition Models via Diffusion

Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber

arXiv 2023. Paper

2023-03-23

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik

arXiv 2023. Paper

2023-03-23

DiffPattern: Layout Pattern Generation via Discrete Diffusion

Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu

DAC 2023. Paper

2023-03-23

DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video

Ce Zheng, Guo-Jun Qi, Chen Chen

arXiv 2023. Paper

2023-03-23

ReVersion: Diffusion-Based Relation Inversion from Images

Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu

arXiv 2023. Paper Project Github

2023-03-23

Ablating Concepts in Text-to-Image Diffusion Models

Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

arXiv 2023. Paper Project Github

2023-03-23

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi

arXiv 2023. Paper Github

2023-03-23

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang

arXiv 2023. Paper Project Github

2023-03-23

Medical diffusion on a budget: textual inversion for medical image generation

Bram de Wilde, Anindo Saha, Richard P.G. ten Broek, Henkjan Huisman

arXiv 2023. Paper

2023-03-23

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

Ye Mao, Lan Jiang, Xi Chen, Chao Li

arXiv 2023. Paper

2023-03-23

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

Ye Mao, Lan Jiang, Xi Chen, Chao Li

arXiv 2023. Paper

2023-03-23

Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models

Yasiru Ranasinghe, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel

arXiv 2023. Paper

2023-03-22

FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models

Jianglong Ye, Naiyan Wang, Xiaolong Wang

arXiv 2023. Paper Project

2023-03-22

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

arXiv 2023. Paper Project

2023-03-22

Pix2Video: Video Editing using Image Diffusion

Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra

arXiv 2023. Paper Project

2023-03-22

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

arXiv 2023. Paper Project

2023-03-22

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation

Haipeng Zhou, Lei Zhu, Yuyin Zhou

arXiv 2023. Paper

2023-03-22

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data

Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang

arXiv 2023. Paper

2023-03-22

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas Day, Reza Razavi, Alberto Gomez, Paul Leeson, Bernhard Kainz

arXiv 2023. Paper

2023-03-22

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data

Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang

arXiv 2023. Paper

2023-03-22

A Perceptual Quality Assessment Exploration for AIGC Images

Zicheng Zhang, Chunyi Li, Wei Sun, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai

arXiv 2023. Paper

2023-03-22

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation

Haipeng Zhou, Lei Zhu, Yuyin Zhou

arXiv 2023. Paper

2023-03-22

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

Koutilya Pnvr, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs

arXiv 2023. Paper

2023-03-22

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan

arXiv 2023. Paper Project

2023-03-22

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang

arXiv 2023. Paper

2023-03-21

Black-box Backdoor Defense via Zero-shot Image Purification

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu

arXiv 2023. Paper

2023-03-21

Learning a 3D Morphable Face Reflectance Model from Low-cost Data

Yuxuan Han, Zhibo Wang, Feng Xu

CVPR 2023. Paper Project

2023-03-21

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation

Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung

arXiv 2023. Paper Project

2023-03-21

Affordance Diffusion: Synthesizing Hand-Object Interactions

Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu

CVPR 2023. Paper Project

2023-03-21

3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion

Yu-Jhe Li, Kris Kitani

arXiv 2023. Paper

2023-03-21

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao

arXiv 2023. Paper Github

2023-03-21

Compositional 3D Scene Generation using Locally Conditioned Diffusion

Ryan Po, Gordon Wetzstein

arXiv 2023. Paper Github

2023-03-21

Vox-E: Text-guided Voxel Editing of 3D Objects

Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor

arXiv 2023. Paper Project

2023-03-21

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation

Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung

arXiv 2023. Paper Project

2023-03-21

Vox-E: Text-guided Voxel Editing of 3D Objects

Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor

arXiv 2023. Paper Project

2023-03-21

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun

arXiv 2023. Paper

2023-03-21

3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion

Yu-Jhe Li, Kris Kitani

arXiv 2023. Paper

2023-03-21

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading

Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab

arXiv 2023. Paper

2023-03-21

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading

Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab

arXiv 2023. Paper

2023-03-21

DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen

arXiv 2023. Paper Project

2023-03-21

Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

Francesco Giuliari, Gianluca Scarpellini, Stuart James, Yiming Wang, Alessio Del Bue

arXiv 2023. Paper Project

2023-03-20

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang

CVPR 2023. Paper Github

2023-03-20

Pluralistic Aging Diffusion Autoencoder

Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He

arXiv 2023. Paper

2023-03-20

AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

Yu Cao, Xiangqiao Meng, P.Y. Mok, Xueting Liu, Tong-Yee Lee, Ping Li

arxiv 2023. Paper

2023-03-20

Zero-1-to-3: Zero-shot One Image to 3D Object

Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick

arXiv 2023. Paper Project Github

2023-03-20

Text2Tex: Text-driven Texture Synthesis via Diffusion Models

Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

arXiv 2023. Paper Project

2023-03-20

Text2Tex: Text-driven Texture Synthesis via Diffusion Models

Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

arXiv 2023. Paper Project

2023-03-20

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or

arXiv 2023. Paper Project

2023-03-20

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang

arXiv 2023. Paper

2023-03-20

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Tomer Michaeli

arXiv 2023. Paper

2023-03-20

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis

Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

arXiv 2023. Paper

2023-03-20

NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Aman Shrivastava, P. Thomas Fletcher

arXiv 2023. Paper

2023-03-20

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

arXiv 2023. Paper

2023-03-20

Object-Centric Slot Diffusion

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

arXiv 2023. Paper

2023-03-20

Object-Centric Slot Diffusion

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

arXiv 2023. Paper

2023-03-20

Diffusion-based Document Layout Generation

Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang

arXiv 2023. Paper

2023-03-19

SKED: Sketch-guided Text-based 3D Editing

Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri

arxiv 2023. Paper

2023-03-19

SKED: Sketch-guided Text-based 3D Editing

Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri

arxiv 2023. Paper

2023-03-19

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Yijun Yang, Huazhu Fu, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu

arXiv 2023. Paper

2023-03-19

3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang

CVPR 2023. Paper Github

2023-03-18

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu

arXiv 2023. Paper Github

2023-03-18

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu

arXiv 2023. Paper Github

2023-03-18

On the De-duplication of LAION-2B

Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie

arXiv 2023. Paper

2023-03-17

A Recipe for Watermarking Diffusion Models

Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin

arXiv 2023. Paper Github

2023-03-17

Adversarial Counterfactual Visual Explanations

Guillaume Jeanneret, Loïc Simon, Frédéric Jurie

CVPR 2023. Paper Github

2023-03-17

DialogPaint: A Dialog-based Image Editing Model

Jingxuan Wei, Shiyu Wu, Xin Jiang, Yequan Wang

arXiv 2023. Paper

2023-03-17

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation

Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu

arXiv 2023. Paper

2023-03-17

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen

arXiv 2023. Paper

2023-03-17

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang

arXiv 2023. Paper Github

2023-03-17

Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting

Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert

arXiv 2023. Paper

2023-03-17

Diffusion-based Target Sampler for Unsupervised Domain Adaptation

Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu

arXiv 2023. Paper

2023-03-17

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya Zhang, Yanfeng Wang

arXiv 2023. Paper

2023-03-17

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang

arXiv 2023. Paper

2023-03-17

DIRE for Diffusion-Generated Image Detection

Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li

arXiv 2023. Paper Github

2023-03-16

DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion

Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang

arXiv 2023. Paper Project

2023-03-16

Robust Evaluation of Diffusion-Based Adversarial Purification

Minjong Lee, Dongwoo Kim

ICLR 2023. Paper

2023-03-16

DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars

David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky

arXiv 2023. Paper

2023-03-16

Diffusion-HPC: Generating Synthetic Images with Realistic Humans

Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung

arXiv 2023. Paper Github

2023-03-16

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu

CVPR 2023. Paper Github

2023-03-16

Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation

Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu

arXiv 2023. Paper

2023-03-16

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen

arXiv 2023. Paper Project Github

2023-03-16

HIVE: Harnessing Human Feedback for Instructional Visual Editing

Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu

arXiv 2023. Paper

2023-03-16

P+: Extended Textual Conditioning in Text-to-Image Generation

Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman

arXiv 2023. Paper Project

2023-03-16

Denoising Diffusion Post-Processing for Low-Light Image Enhancement

Savvas Panagiotou, Anna S. Bosman

arXiv 2023. Paper

2023-03-16

SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction

Matthew A. Chan, Sean I. Young, Christopher A. Metzler

arXiv 2023. Paper

2023-03-16

DiffIR: Efficient Diffusion Model for Image Restoration

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool

arXiv 2023. Paper

2023-03-16

Efficient Diffusion Training via Min-SNR Weighting Strategy

Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo

arXiv 2023. Paper

2023-03-16

LDMVFI: Video Frame Interpolation with Latent Diffusion Models

Duolikun Danier, Fan Zhang, David Bull

arXiv 2023. Paper

2023-03-16

DiffusionAD: Denoising Diffusion for Anomaly Detection

Hui Zhang, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang

arXiv 2023. Paper

2023-03-15

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

arXiv 2023. Paper

2023-03-15

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models

Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye

arXiv 2023. Paper

2023-03-15

Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion

Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye

arXiv 2023. Paper

2023-03-15

Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models

Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha

arXiv 2023. Paper Github

2023-03-15

Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer

Serin Yang, Hyunmin Hwang, Jong Chul Ye

arXiv 2023. Paper

2023-03-15

Stochastic Segmentation with Conditional Categorical Diffusion Models

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

arXiv 2023. Paper Github

2023-03-15

Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels

Jan Oscar Cross-Zamirski, Praveen Anand, Guy Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb

arXiv 2023. Paper Github

2023-03-15

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models

Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye

arXiv 2023. Paper

2023-03-15

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Cosmin I Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel

arXiv 2023. Paper

2023-03-15

ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution

Shuyao Shang, Zhengyang Shan, Guangxing Liu, Jinglin Zhang

arXiv 2023. Paper

2023-03-15

Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels

Jan Oscar Cross-Zamirski, Praveen Anand, Guy Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb

arXiv 2023. Paper Github

2023-03-15

Stochastic Segmentation with Conditional Categorical Diffusion Models

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

arXiv 2023. Paper Github

2023-03-15

DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

Jiayu Zou, Zheng Zhu, Yun Ye, Xingang Wang

arXiv 2023. Paper

2023-03-15

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

nknow

CVPR 2023. Paper

2023-03-15

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

CVPR 2023. Paper Project Github

2023-03-14

Point Cloud Diffusion Models for Automatic Implant Generation

Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin

arXiv 2023. Paper

2023-03-14

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim

arXiv 2023. Paper Github

2023-03-14

MeshDiffusion: Score-based Generative 3D Mesh Modeling

Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu

ICLR 2023. Paper Project Github

2023-03-14

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai

CVPR 2023. Paper Project

2023-03-14

Edit-A-Video: Single Video Editing with Object-Aware Consistency

Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon

arXiv 2023. Paper Project

2023-03-14

Editing Implicit Assumptions in Text-to-Image Diffusion Models

Hadas Orgad, Bahjat Kawar, Yonatan Belinkov

arXiv 2023. Paper Project Github

2023-03-14

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim

arXiv 2023. Paper

2023-03-14

Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection

Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson

arXiv 2023. Paper

2023-03-14

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images

Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin

arXiv 2023. Paper

2023-03-14

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images

Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin

arXiv 2023. Paper

2023-03-14

Interpretable ODE-style Generative Diffusion Model via Force Field Construction

Weiyang Jin, Yongpei Zhu, Yuxi Peng

arXiv 2023. Paper

2023-03-14

Parallel Vertex Diffusion for Unified Visual Grounding

Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

arXiv 2023. Paper

2023-03-13

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool

arXiv 2023. Paper

2023-03-13

Erasing Concepts from Diffusion Models

Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau

arXiv 2023. Paper Project Github

2023-03-13

Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach

Tao Yang, Peiran Ren, Xuansong xie, Lei Zhang

arXiv 2023. Paper

2023-03-13

DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang

CVPR 2023. Paper

2023-03-13

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

arXiv 2023. Paper Github

2023-03-12

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration

Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao

arXiv 2023. Paper

2023-03-12

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline

Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang

arXiv 2023. Paper

2023-03-11

AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image

Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang

arXiv 2023. Paper

2023-03-11

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern Menze

arXiv 2023. Paper

2023-03-11

Regularized Vector Quantization for Tokenized Image Synthesis

Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu

arXiv 2023. Paper

2023-03-11

PARASOL: Parametric Style Control for Diffusion Image Synthesis

Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse

arXiv 2023. Paper

2023-03-11

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Weixin Chen, Dawn Song, Bo Li

CVPR 2023. Paper Github

2023-03-10

GECCO: Geometrically-Conditioned Point Diffusion Models

Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls

arXiv 2023. Paper

2023-03-10

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu

arXiv 2023. Paper Github

2023-03-10

Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers

Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee

arXiv 2023. Paper

2023-03-10

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition

Hyungjin Chung, Suhyeon Lee, Jong Chul Ye

arXiv 2023. Paper

2023-03-10

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition

Hyungjin Chung, Suhyeon Lee, Jong Chul Ye

arXiv 2023. Paper

2023-03-10

Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers

Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee

arXiv 2023. Paper

2023-03-10

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu

arXiv 2023. Paper Github

2023-03-10

Detecting Images Generated by Diffusers

Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato

arXiv 2023. Paper

2023-03-09

Unifying Layout Generation with a Decoupled Diffusion Model

Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu

CVPR 2023. Paper

2023-03-09

Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning

AprilPyone MaungMaung, Hitoshi Kiya

arXiv 2023. Paper

2023-03-09

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oğuz

arXiv 2023. Paper

2023-03-09

Cones: Concept Neurons in Diffusion Models for Customized Generation

Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

arXiv 2023. Paper

2023-03-09

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Yiqun Duan, Zheng Zhu, Xianda Guo

arxiv 2023. Paper Github

2023-03-09

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran

arXiv 2023. Paper

2023-03-09

Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion

Furkan Ozcelik, Rufin VanRullen

arXiv 2023. Paper

2023-03-09

A Prompt Log Analysis of Text-to-Image Generation Systems

Yutong Xie, Zhaoying Pan, Jinge Ma, Jie Luo, Qiaozhu Mei

arXiv 2023. Paper

2023-03-08

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan

arXiv 2023. Paper Github

2023-03-08

Video-P2P: Video Editing with Cross-attention Control

Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia

arXiv 2023. Paper Project

2023-03-08

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement

Puijin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang

arXiv 2023. Paper Github

2023-03-08

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello

arXiv 2023. Paper Project

2023-03-08

Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation

Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang

arXiv 2023. Paper

2023-03-08

DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer

Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez

arXiv 2023. Paper

2023-03-07

Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition

Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein

arXiv 2023. Paper Project

2023-03-07

Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles

Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang

arXiv 2023. Paper Github

2023-03-07

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer

MIDL 2023. Paper

2023-03-07

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu

arXiv 2023. Paper

2023-03-07

StyO: Stylize Your Face in Only One-Shot

Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo

arXiv 2023. Paper

2023-03-06

Word-As-Image for Semantic Typography

Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir

SIGGRAPH 2023. Paper Project

2023-03-03

Unleashing Text-to-Image Diffusion Models for Visual Perception

Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu

arXiv 2023. Paper Github

2023-03-03

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion

Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu

arXiv 2023. Paper

2023-03-03

Generative Diffusions in Augmented Spaces: A Complete Recipe

Kushagra Pandey, Stephan Mandt

arXiv 2023. Paper

2023-03-03

Human Motion Diffusion as a Generative Prior

Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano

arXiv 2023. Paper

2023-03-02

Consistency Models

Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever

arXiv 2023. Paper

2023-03-02

Collage Diffusion

Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian

arXiv 2023. Paper

2023-03-01

Unlimited-Size Diffusion Restoration

Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang

arXiv 2023. Paper

2023-03-01

Diffusion Probabilistic Fields

Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2023. Paper

2023-03-01

Monocular Depth Estimation using Diffusion Models

Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet

arXiv 2023. Paper Github

2023-02-28

Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee

ICRA 2023. Paper Project Github

2023-02-28

Towards Enhanced Controllability of Diffusion Models

Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale

arXiv 2023. Paper

2023-02-28

Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection

Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud

arXiv 2023. Paper

2023-02-28

Differentially Private Diffusion Models Generate Useful Synthetic Images

Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle

arXiv 2023. Paper

2023-02-27

Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition

Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori

Eurographics 2023. Paper

2023-02-26

Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition

Yifan Jiang, Han Chen, Hanseok Ko

arXiv 2023. Paper

2023-02-26

Directed Diffusion: Direct Control of Object Placement through Attention Guidance

Wan-Duo Kurt Ma, J.P. Lewis, W. Bastiaan Kleijn, Thomas Leung

arXiv 2023. Paper

2023-02-25

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis

Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz

arXiv 2023. Paper

2023-02-24

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh

arXiv 2023. Paper

2023-02-24

PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction

Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi

arXiv 2023. Paper roject

2023-02-23

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Jamie Wynn, Daniyar Turmukhambetov

CVPR 2023. Paper Github

2023-02-23

Region-Aware Diffusion for Zero-shot Text-driven Image Editing

Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu

arXiv 2023. Paper Github

2023-02-23

Controlled and Conditional Text to Image Generation with Diffusion Prior

Pranav Aggarwal, Hareesh Ravi, Naveen Marri, Sachin Kelkar, Fengbin Chen, Vinh Khuc, Midhun Harikumar, Ritiz Tambi, Sudharshan Reddy Kakumanu, Purvak Lapsiya, Alvin Ghouas, Sarah Saber, Malavika Ramprasad, Baldo Faieta, Ajinkya Kale

arXiv 2023. Paper

2023-02-23

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl

arXiv 2023. Paper Project

2023-02-22

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl

arXiv 2023. Paper Project

2023-02-22

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan

arXiv 2023. Paper

2023-02-21

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

arXiv 2023. Paper

2023-02-21

On Calibrating Diffusion Probabilistic Models

Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng

arXiv 2023. Paper Github

2023-02-21

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan

arXiv 2023. Paper

2023-02-21

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

ICML 2023. Paper Github

2023-02-20

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger

arXiv 2023. Paper

2023-02-20

Restoration based Generative Models

Jaemoo Choi, Yesom Park, Myungjoo Kang

arXiv 2023. Paper

2023-02-20

Restoration based Generative Models

Jaemoo Choi, Yesom Park, Myungjoo Kang

arXiv 2023. Paper

2023-02-20

Cross-domain Compositing with Pretrained Diffusion Models

Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano

arXiv 2023. Paper Github

2023-02-20

LDFA: Latent Diffusion Face Anonymization for Self-driving Applications

Marvin Klemp, Kevin Rösch, Royden Wagner, Jannik Quehl, Martin Lauer

arXiv 2023. Paper

2023-02-17

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis

arXiv 2023. Paper Github

2023-02-17

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Henry Kvinge, Davis Brown, Charles Godfrey

arXiv 2023. Paper

2023-02-16

Text-driven Visual Synthesis with Latent Diffusion Prior

Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar, Jia-Bin Huang

arXiv 2023. Paper Project

2023-02-16

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie

arXiv 2023. Paper Github

2023-02-16

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel

arXiv 2023. Paper roject Github

2023-02-16

Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

arXiv 2023. Paper

2023-02-16

Explicit Diffusion of Gaussian Mixture Model Based Image Priors

Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle

arXiv 2023. Paper

2023-02-16

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li

arXiv 2023. Paper

2023-02-16

Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model

Sumit Mishra, Medhavi Mishra, Taeyoung Kim, Dongsoo Har

arXiv 2023. Paper

2023-02-15

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz

arXiv 2023. Paper

2023-02-15

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation

Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry

arXiv 2023. Paper Github

2023-02-15

PRedItOR: Text Guided Image Editing with Diffusion Prio

Hareesh Ravi, Sachin Kelkar, Midhun Harikumar, Ajinkya Kale

arXiv 2023. Paper

2023-02-15

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Hshmat Sahak, Daniel Watson, Chitwan Saharia, David Fleet

arXiv 2023. Paper

2023-02-15

Video Probabilistic Diffusion Models in Projected Latent Space

Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

arXiv 2023. Paper Github

2023-02-15

Text-Guided Scene Sketch-to-Photo Synthesis

AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura

arXiv 2023. Paper

2023-02-14

Universal Guidance for Diffusion Models

Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein

arXiv 2023. Paper Github

2023-02-14

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution

Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang

arXiv 2023. Paper

2023-02-14

DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang

arXiv 2023. Paper

2023-02-14

DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model

Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata

arXiv 2023. Paper

2023-02-14

Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions

Raghav Singhal, Mark Goldstein, Rajesh Ranganath

arXiv 2023. Paper

2023-02-14

Raising the Cost of Malicious AI-Powered Image Editing

Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry

arXiv 2023. Paper Github

2023-02-13

Preconditioned Score-based Generative Models

Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng

arXiv 2023. Paper ithub

2023-02-13

SinMDM: Single Motion Diffusion

Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or

arXiv 2023. Paper Project Github

2023-02-12

I2SB: Image-to-Image Schrödinger Bridge

Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar

arXiv 2023. Paper Project

2023-02-12

3D Colored Shape Reconstruction from a Single RGB Image through Diffusion

Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu

arXiv 2023. Paper

2023-02-11

Adding Conditional Control to Text-to-Image Diffusion Models

Lvmin Zhang, Maneesh Agrawala

arXiv 2023. Paper Github

2023-02-10

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance

Chaerin Kong, Nojun Kwak

arXiv 2023. Paper

2023-02-10

Star-Shaped Denoising Diffusion Probabilistic Models

Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov

arXiv 2023. Paper

2023-02-10

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

arXiv 2023. Paper

2023-02-09

Better Diffusion Models Further Improve Adversarial Training

Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan

arXiv 2023. Paper Github

2023-02-09

Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation

Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin

arXiv 2023. Paper

2023-02-09

Geometry of Score Based Generative Models

Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy

arXiv 2023. Paper

2023-02-09

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu

arXiv 2023. Paper Project Github

2023-02-09

Q-Diffusion: Quantizing Diffusion Models

Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

arXiv 2023. Paper Github

2023-02-08

GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models

Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao

arXiv 2023. Paper

2023-02-08

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models

Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye

arXiv 2023. Paper

2023-02-08

Q-Diffusion: Quantizing Diffusion Models

Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

arXiv 2023. Paper

2023-02-08

PFGM++: Unlocking the Potential of Physics-Inspired Generative Models

Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola

arXiv 2023. Paper Github

2023-02-08

Effective Data Augmentation With Diffusion Models

Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov

arXiv 2023. Paper Project

2023-02-07

Membership Inference Attacks against Diffusion Models

Tomoya Matsumoto, Takayuki Miura, Naoto Yanai

arXiv 2023. Paper

2023-02-07

HumanMAC: Masked Motion Completion for Human Motion Prediction

Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu

arXiv 2023. Paper Project Github

2023-02-07

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting

arXiv 2023. Paper

2023-02-07

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein

arXiv 2023. Paper Github

2023-02-07

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control

Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam

arXiv 2023. Paper

2023-02-07

Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion

Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes

arXiv 2023. Paper

2023-02-07

Long Horizon Temperature Scaling

Andy Shih, Dorsa Sadigh, Stefano Ermon

arXiv 2023. Paper

2023-02-07

Zero-shot Image-to-Image Translation

Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu

arXiv 2023. Paper

2023-02-06

Structure and Content-Guided Video Synthesis with Diffusion Models

Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis

arXiv 2023. Paper Project

2023-02-06

DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari

ICLR 2023. Paper Github

2023-02-06

DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari

ICLR 2023. Paper Github

2023-02-06

Spatial Functa: Scaling Functa to ImageNet Classification and Generation

Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim

arXiv 2023. Paper

2023-02-06

Mixture of Diffusers for scene composition and high resolution image generation

Álvaro Barbero Jiménez

arXiv 2023. Paper Github

2023-02-05

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li

arXiv 2023. Paper

2023-02-05

Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion

Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang

arXiv 2023. Paper

2023-02-05

Diffusion Model for Generative Image Denoising

Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li

arXiv 2023. Paper

2023-02-05

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian

AAAI 2023. Paper

2023-02-05

Divide and Compose with Score Based Generative Models

Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy

arXiv 2023. Paper Github

2023-02-05

Semantic-Guided Image Augmentation with Pre-trained Models

Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che

SIGGRAPH 2023. Paper Project

2023-02-04

Learning End-to-End Channel Coding with Diffusion Models

Muah Kim, Rick Fritschek, Rafael F. Schaefer

WSA/SCC 2023. Paper

2023-02-03

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Naser Damer, Meiling Fang, Patrick Siebke, Jan Niklas Kolf, Marco Huber, Fadi Boutros

IWBF 2023. Paper Github

2023-02-03

TEXTure: Text-Guided Texturing of 3D Shapes

Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or

arXiv 2023. Paper Project Github

2023-02-03

TEXTure: Text-Guided Texturing of 3D Shapes

Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or

arXiv 2023. Paper Project Github

2023-02-03

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace

arXiv 2023. Paper

2023-02-02

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu

arXiv 2023. Paper

2023-02-02

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace

arXiv 2023. Paper

2023-02-02

Dreamix: Video Diffusion Models are General Video Editors

Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen

arXiv 2023. Paper Project

2023-02-02

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models

Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai

arXiv 2023. Paper

2023-02-02

Diffusion Models for High-Resolution Solar Forecasts

Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski

arxiv 2023. Paper

2023-02-01

Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation

Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu

SIGGRAPH ASIA 2023. Paper Github

2023-02-01

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts

Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman

AAAI 2023. Paper

2023-02-01

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models

Yilun Xu, Shangyuan Tong, Tommi Jaakkola

ICLR 2023. Paper Github

2023-02-01

Salient Conditional Diffusion for Defending Against Backdoor Attacks

Brandon B. May, N. Joseph Tatro, Piyush Kumar, Nathan Shnidman

ICLR Workshop 2023. Paper

2023-01-31

Zero3D: Semantic-Driven Multi-Category 3D Shape Generation

Bo Han, Yitong Liu, Yixuan Shen

arXiv 2023. Paper

2023-01-31

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or

SIGGRAPH 2023. Paper Project Github

2023-01-31

Zero3D: Semantic-Driven Multi-Category 3D Shape Generation

Bo Han, Yitong Liu, Yixuan Shen

arXiv 2023. Paper

2023-01-31

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

arXiv 2023. Paper

2023-01-31

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

arXiv 2023. Paper

2023-01-31

Optimizing DDPM Sampling with Shortcut Fine-Tuning

Ying Fan, Kangwook Lee

arXiv 2023. Paper

2023-01-31

Learning Data Representations with Joint Diffusion Models

Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak

arXiv 2023. Paper

2023-01-31

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng

arXiv 2023. Paper

2023-01-31

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace

arXiv 2023. Paper

2023-01-30

Shape-aware Text-driven Layered Video Editing

Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang

arXiv 2023. Paper Project

2023-01-30

PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks

Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis

arXiv 2023. Paper Github

2023-01-30

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu

CVPR 2023. Paper Github

2023-01-30

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

arXiv 2023. Paper

2023-01-30

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models

Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan

arXiv 2023. Paper

2023-01-30

Don't Play Favorites: Minority Guidance for Diffusion Models

Soobin Um, Jong Chul Ye

arXiv 2023. Paper Github

2023-01-29

SEGA: Instructing Diffusion using Semantic Dimensions

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

arXiv 2023. Paper

2023-01-28

Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset

Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh

arXiv 2023. Paper

2023-01-28

A Denoising Diffusion Model for Fluid Field Prediction

Gefan Yang, Stefan Sommer

arXiv 2023. Paper

2023-01-27

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre

arXiv 2023. Paper

2023-01-27

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li

arXiv 2023. Paper

2023-01-27

Diffusion Denoising for Low-Dose-CT Model

Runyi Li

arXiv 2023. Paper

2023-01-27

Accelerating Guided Diffusion Sampling with Splitting Numerical Methods

Suttisak Wizadwongsa, Supasorn Suwajanakorn

ICLR 2023. Paper

2023-01-27

Diffusion Denoising for Low-Dose-CT Model

Runyi Li

arXiv 2023. Paper

2023-01-27

Minimizing Trajectory Curvature of ODE-based Generative Models

Sangyun Lee, Beomsu Kim, Jong Chul Ye

arXiv 2023. Paper

2023-01-27

Accelerating Guided Diffusion Sampling with Splitting Numerical Methods

Suttisak Wizadwongsa, Supasorn Suwajanakorn

ICLR 2023. Paper

2023-01-27

Input Perturbation Reduces Exposure Bias in Diffusion Models

Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara

arXiv 2023. Paper Github

2023-01-27

3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka

SIGGRAPH 2023. Paper Github

2023-01-26

Text-To-4D Dynamic Scene Generation

Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman

arXiv 2023. Paper

2023-01-26

Screen Space Indirect Lighting with Visibility Bitmask

Olivier Therrien, Yannick Levesque, Guillaume Gilet

Visual Computer 2023. Paper

2023-01-26

Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization

Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao

arXiv 2023. Paper

2023-01-26

On the Importance of Noise Scheduling for Diffusion Models

Ting Chen

arXiv 2023. Paper

2023-01-26

simple diffusion: End-to-end diffusion for high resolution images

Emiel Hoogeboom, Jonathan Heek, Tim Salimans

arXiv 2023. Paper

2023-01-26

Membership Inference of Diffusion Models

Hailong Hu, Jun Pang

arXiv 2023. Paper

2023-01-24

DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model

Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li

arXiv 2023. Paper

2023-01-24

Bipartite Graph Diffusion Model for Human Interaction Generation

Baptiste Chopin, Hao Tang, Mohamed Daoudi

arXiv 2023. Paper

2023-01-24

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas

CVPR 2023. Paper Project

2023-01-23

RainDiffusion:When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining

Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang

arXiv 2023. Paper

2023-01-23

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models

Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang

arXiv 2023. Paper

2023-01-23

DiffusionCT: Latent Diffusion Model for CT Image Standardization

Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen

arXiv 2023. Paper

2023-01-20

Removing Structured Noise with Diffusion Models

Tristan S.W. Stevens, Jean-Luc Robert, Faik C. Meral Jason Yu, Jun Seob Shin, Ruud J.G. van Sloun

arXiv 2023. Paper

2023-01-20

Image Restoration with Mean-Reverting Stochastic Differential Equations

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

arXiv 2023. Paper Github

2023-01-20

DiffusionCT: Latent Diffusion Model for CT Image Standardization

Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen

arXiv 2023. Paper

2023-01-20

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models

Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma

arXiv 2023. Paper

2023-01-19

The role of noise in denoising models for anomaly detection in medical images

Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil

arXiv 2023. Paper Github

2023-01-19

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer

Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu

arXiv 2023. Paper

2023-01-19

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer

Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu

arXiv 2023. Paper

2023-01-19

Fast Inference in Denoising Diffusion Models via MMD Finetuning

Emanuele Aiello, Diego Valsesia, Enrico Magli

arXiv 2023. Paper Github

2023-01-19

Targeted Image Reconstruction by Sampling Pre-trained Diffusion Model

Jiageng Zheng

arXiv 2023. Paper

2023-01-18

Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks

Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar

arXiv 2023. Paper Github

2023-01-17

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu

arXiv 2023. Paper Project Github

2023-01-15

Neural Image Compression with a Diffusion-Based Decoder

Noor Fathima Goose, Jens Petersen, Auke Wiggers, Tianlin Xu, Guillaume Sautière

arXiv 2023. Paper

2023-01-13

Guiding Text-to-Image Diffusion Model Towards Grounded Generation

Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

arXiv 2023. Paper Project

2023-01-12

Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images

Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincső, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas

arXiv 2023. Paper

2023-01-12

Diffusion Models For Stronger Face Morphing Attacks

Zander Blasingame, Chen Liu

arXiv 2023. Paper

2023-01-10

Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models

Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe

arXiv 2023. Paper

2023-01-10

Speech Driven Video Editing via an Audio-Conditioned Diffusion Model

Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran

arXiv 2023. Paper Project Github

2023-01-10

DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis

Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu

arXiv 2023. Paper

2023-01-10

Speech Driven Video Editing via an Audio-Conditioned Diffusion Model

Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran

arXiv 2023. Paper

2023-01-10

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye

arXiv 2023. Paper

2023-01-08

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye

arXiv 2023. Paper

2023-01-08

Visual Story Generation Based on Emotion and Keywords

Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si

AIIDE INT 2022. Paper

2023-01-07

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation

Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic

arXiv 2023. Paper Project

2023-01-06

Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon

arXiv 2023. Paper Github

2023-01-02

Muse: Text-To-Image Generation via Masked Generative Transformers

Huiwen Chang, Han Zhang, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

arXiv 2023. Paper Project

2023-01-02

Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets

Dennis Eschweiler, Johannes Stegmaier

arXiv 2023. Paper

2023-01-02

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

arXiv 2023. Paper

2023-01-01

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao

CVPR 2023. Paper Project

2022-12-28

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao

CVPR 2023. Paper Project

2022-12-28

Exploring Vision Transformers as Diffusion Learners

He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang

arXiv 2022. Paper

2022-12-28

Exploring Vision Transformers as Diffusion Learners

He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang

arXiv 2022. Paper

2022-12-28

DiffFace: Diffusion-based Face Swapping with Facial Guidance

Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee

arXiv 2022. Paper Project

2022-12-27

Exploring Transformer Backbones for Image Diffusion Models

Princy Chahal

arXiv 2022. Paper

2022-12-27

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

Zijian Zhang, Zhou Zhao, Zhijie Lin

arXiv 2022. Paper

2022-12-26

Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms

Rui Ma, Mengxi Guo, Yi Hou, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie

arXiv 2022. Paper Github

2022-12-24

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

arXiv 2022. Paper Project

2022-12-22

Scalable Adaptive Computation for Iterative Generation

Allan Jabri, David Fleet, Ting Chen

arXiv 2022. Paper

2022-12-22

Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias

Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan

arXiv 2022. Paper

2022-12-21

Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation

Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia

arXiv 2022. Paper

2022-12-21

AI Art in Architecture

Joern Ploennigs, Markus Berger

arXiv 2022. Paper

2022-12-19

Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability

Lorin Sweeney, Graham Healy, Alan F. Smeaton

MediaEval Workshop 2022. Paper

2022-12-19

Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer

Sirikonda Dhawal, Aakash KT, P.J. Narayanan

ICVGIP 2022. Paper

2022-12-19

Optimizing Prompts for Text-to-Image Generation

Yaru Hao, Zewen Chi, Li Dong, Furu Wei

arXiv 2022. Paper Project Github

2022-12-19

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo

arXiv 2022. Paper Github

2022-12-19

Scalable Diffusion Models with Transformers

William Peebles, Saining Xie

arXiv 2022. Paper Project Github

2022-12-19

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim

arXiv 2022. Paper Project

2022-12-17

Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models

Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum

arXiv 2022. Paper

2022-12-16

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen

arXiv 2022. Paper Github

2022-12-16

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang

arXiv 2022. Paper Github

2022-12-16

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation

Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li

arXiv 2022. Paper

2022-12-16

Fake it till you make it: Learning(s) from a synthetic ImageNet clone

Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis

CVPR 2023. Paper Project

2022-12-16

TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models

Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti

arXiv 2022. Paper

2022-12-15

Generating Realistic 3D Brain MRIs Using a Conditional Diffusion Probabilistic Model

Wei Peng, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl

arXiv 2022. Paper Github

2022-12-15

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging

Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu

arXiv 2022. Paper

2022-12-15

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging

Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu

arXiv 2022. Paper

2022-12-15

The Infinite Index: Information Retrieval on Generative Text-To-Image Models

Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast

CHIIR 2023. Paper

2022-12-14

Diffusion Probabilistic Models beat GANs on Medical Images

Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

arXiv 2022. Paper

2022-12-14

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging

Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

arXiv 2022. Paper

2022-12-14

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors

Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel

arXiv 2022. Paper Project

2022-12-14

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging

Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

arXiv 2022. Paper

2022-12-14

LidarCLIP or: How I Learned to Talk to Point Clouds

Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström

arXiv 2022. Paper Github

2022-12-13

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting

Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan

CVPR 2023. Paper

2022-12-13

DifFace: Blind Face Restoration with Diffused Error Contraction

Zongsheng Yue, Chen Change Loy

arXiv 2022. Paper Github

2022-12-13

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping

Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu

arXiv 2022. Paper

2022-12-13

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli

Matteo Ferrante, Tommaso Boccato, Nicola Toschi

arXiv 2022. Paper

2022-12-13

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao

arXiv 2022. Paper

2022-12-12

Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models

Jiabao Lei, Jiapeng Tang, Kui Jia

CVPR 2023. Paper Project Github

2022-12-12

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo

arXiv 2022. Paper Project

2022-12-12

The Stable Artist: Steering Semantics in Diffusion Latent Space

Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting

arXiv 2022. Paper

2022-12-12

Towards Practical Plug-and-Play Diffusion Models

Hyojun Go, Yunsung Lee, Jin-Young Kim, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi

arXiv 2022. Paper

2022-12-12

How to Backdoor Diffusion Models?

Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho

CVPR 2023. Paper

2022-12-11

DiffAlign : Few-shot learning using diffusion based synthesis and alignment

Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa

arXiv 2022. Paper

2022-12-11

MAGVIT: Masked Generative Video Transformer

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

arXiv 2022. Paper roject

2022-12-10

Ego-Body Pose Estimation via Ego-Head Pose Estimation

Jiaman Li, C. Karen Liu, Jiajun Wu

CVPR 2023. Paper

2022-12-09

SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model

Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang

arXiv 2022. Paper

2022-12-09

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang

ICLR 2023. Paper Github

2022-12-09

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen

arXiv 2022. Paper

2022-12-09

Executing your Commands via Motion Diffusion in Latent Space

Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu

CVPR 2023. Paper Project Github

2022-12-08

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui

CVPR 2023. Paper Project

2022-12-08

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt

CVPR 2023. Paper Project

2022-12-08

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt

arXiv 2022. Paper Project

2022-12-08

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui

arXiv 2022. Paper Project

2022-12-08

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren

arXiv 2022. Paper Project Github

2022-12-08

Multi-Concept Customization of Text-to-Image Diffusion

Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

arXiv 2022. Paper Project

2022-12-08

Diffusion Guided Domain Adaptation of Image Generators

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal

arXiv 2022. Paper Project

2022-12-08

Executing your Commands via Motion Diffusion in Latent Space

Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu

arXiv 2022. Paper Project

2022-12-08

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

CVPR 2023. Paper Github

2022-12-07

Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation

Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li

arXiv 2022. Paper

2022-12-07

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors

Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang

arXiv 2022. Paper Project

2022-12-07

Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation

Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li

arXiv 2022. Paper

2022-12-07

Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation

Seongbeom Park, Suhong Moon, Jinkyu Kim

arXiv 2022. Paper

2022-12-07

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging

Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu

arXiv 2022. Paper

2022-12-07

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging

Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu

arXiv 2022. Paper

2022-12-07

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model

Jeongjun Choi, Dongseok Shim, H. Jin Kim

arXiv 2022. Paper

2022-12-06

Pretrained Diffusion Models for Unified Human Motion Synthesis

Jianxin Ma, Shuai Bai, Chang Zhou

arXiv 2022. Paper Project

2022-12-06

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu

CVPR 2023. Paper Github

2022-12-06

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov

arXiv 2022. Paper

2022-12-06

M-VADER: A Model for Diffusion with Multimodal Context

Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas

arXiv 2022. Paper

2022-12-06

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang

CVPR 2023. Paper Project Github

2022-12-06

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov

arXiv 2022. Paper

2022-12-06

Semantic-Conditional Diffusion Networks for Image Captioning

Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei

CVPR 2023. Paper Github

2022-12-06

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu

CVPR 2023. Paper Project Github

2022-12-06

ADIR: Adaptive Diffusion for Image Reconstruction

Shady Abu-Hussein, Tom Tirer, Raja Giryes

arXiv 2022. Paper Project

2022-12-06

Neural Cell Video Synthesis via Optical-Flow Diffusion

Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou

arXiv 2022. Paper

2022-12-06

ADIR: Adaptive Diffusion for Image Reconstruction

Shady Abu-Hussein, Tom Tirer, Raja Giryes

arXiv 2022. Paper Project

2022-12-06

SDM: Spatial Diffusion Model for Large Hole Image Inpainting

Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia

arXiv 2022. Paper

2022-12-06

DiffusionInst: Diffusion Model for Instance Segmentation

Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang

arXiv 2022. Paper Github

2022-12-06

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang

arXiv 2022. Paper

2022-12-06

PhysDiff: Physics-Guided Human Motion Diffusion Model

Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz

arXiv 2022. Paper Project

2022-12-05

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira

arXiv 2022. Paper

2022-12-05

Fast Point Cloud Generation with Straight Flows

Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu

arXiv 2022. Paper

2022-12-04

Image Deblurring with Domain Generalizable Diffusion Models

Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar

arXiv 2022. Paper

2022-12-04

ObjectStitch: Generative Object Compositing

Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga

arXiv 2022. Paper

2022-12-02

DiffRF: Rendering-Guided 3D Radiance Field Diffusion

Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner

CVPR 2023. Paper Project

2022-12-02

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

Zhizhuo Zhou, Shubham Tulsiani

CVPR 2023. Paper Project Github

2022-12-01

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich

CVPR 2023. Paper Project

2022-12-01

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero

arXiv 2022. Paper

2022-12-01

Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models

Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel

arXiv 2022. Paper Project

2022-12-01

Shape-Guided Diffusion with Inside-Outside Attention

Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell

arXiv 2022. Paper Project

2022-12-01

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Yinhuai Wang, Jiwen Yu, Jian Zhang

arXiv 2022. Paper Github

2022-12-01

Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion

Benedikt Kolbeinsson, Krystian Mikolajczyk

arXiv 2022. Paper

2022-12-01

Why Are Conditional Generative Models Better Than Unconditional Ones?

Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

arXiv 2022. Paper

2022-12-01

VIDM: Video Implicit Diffusion Models

Kangfu Mei, Vishal M. Patel

arXiv 2022. Paper Project Github

2022-12-01

DiffPose: Toward More Reliable 3D Pose Estimation

Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

CVPR 2023. Paper Github

2022-11-30

3D Neural Field Generation using Triplane Diffusion

J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

arXiv 2022. Paper Project

2022-11-30

FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution

Kyoungwan Woo, Achyuta Rajaram

arXiv 2022. Paper

2022-11-30

High-Fidelity Guided Image Synthesis with Latent Diffusion Models

Jaskirat Singh, Stephen Gould, Liang Zheng

arXiv 2022. Paper Project

2022-11-30

Score-based Continuous-time Discrete Diffusion Models

Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai

arXiv 2022. Paper

2022-11-30

NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views

Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang

arXiv 2022. Paper Project Github

2022-11-29

DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model

Gwanghyun Kim, Se Young Chun

CVPR 2023. Paper Github

2022-11-29

DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models

Karl Holmquist, Bastian Wandt

arXiv 2022. Paper Github

2022-11-29

Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion

Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu

arXiv 2022. Paper

2022-11-29

UDE: A Unified Driving Engine for Human Motion Generation

Zixiang Zhou, Baoyuan Wang

arXiv 2022. Paper Project Github

2022-11-29

SinDDM: A Single Image Denoising Diffusion Model

Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli

arXiv 2022. Paper Project

2022-11-29

DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model

Gwanghyun Kim, Se Young Chun

CVPR 2023. Paper Github

2022-11-29

Dimensionality-Varying Diffusion Process

Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

arXiv 2022. Paper

2022-11-29

Wavelet Diffusion Models are fast and scalable Image Generators

Hao Phung, Quan Dao, Anh Tran

arXiv 2022. Paper

2022-11-29

Post-training Quantization on Diffusion Models

Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan

arXiv 2022. Paper Github

2022-11-28

Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning

Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye

arXiv 2022. Paper Github

2022-11-28

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon

arXiv 2022. Paper

2022-11-28

Diffusion Probabilistic Model Made Slim

Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

CVPR 2023. Paper

2022-11-27

Unified Discrete Diffusion for Simultaneous Vision-Language Generation

Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan

arXiv 2022. Paper

2022-11-27

Diffusion Probabilistic Model Made Slim

Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

arXiv 2022. Paper

2022-11-27

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

German Barquero, Sergio Escalera, Cristina Palmero

arXiv 2022. Paper Project Github

2022-11-25

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao

arXiv 2022. Paper

2022-11-25

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao

arXiv 2022. Paper

2022-11-25

SpaText: Spatio-Textual Representation for Controllable Image Generation

Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin

CVPR 2023. Paper Project

2022-11-25

CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis

Shichong Peng, Alireza Moazeni, Ke Li

arXiv 2022. Paper

2022-11-25

JigsawPlan: Room Layout Jigsaw Puzzle Extreme Structure from Motion using Diffusion Models

Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa

arXiv 2022. Paper Project

2022-11-24

DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions

Gene Chou, Yuval Bahat, Felix Heide

arXiv 2022. Paper Github

2022-11-24

Sketch-Guided Text-to-Image Diffusion Models

Andrey Voynov, Kfir Aberman, Daniel Cohen-Or

arXiv 2022. Paper Project

2022-11-24

Shifted Diffusion for Text-to-image Generation

Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

CVPR 2023. Paper

2022-11-24

Fast Sampling of Diffusion Models via Operator Learning

Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

arXiv 2022. Paper

2022-11-24

HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising

Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa

arXiv 2022. Paper Project

2022-11-23

Tetrahedral Diffusion Models for 3D Shape Generation

Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler

arXiv 2022. Paper

2022-11-23

Make-A-Story: Visual Memory Conditioned Consistent Story Generation

Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal

CVPR 2023. Paper

2022-11-23

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition

Jennifer C. White, Ryan Cotterell

arXiv 2022. Paper

2022-11-23

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari

arXiv 2022. Paper

2022-11-23

Improving dermatology classifiers across populations using images generated by large diffusion models

Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai

NeurIPS Workshop 2022. Paper

2022-11-23

Inversion-Based Creativity Transfer with Diffusion Models

Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

CVPR 2023. Paper Github

2022-11-23

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors

Ryan Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

arXiv 2022. Paper

2022-11-23

Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths

Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen

arXiv 2022. Paper

2022-11-23

Paint by Example: Exemplar-based Image Editing with Diffusion Models

Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen

arXiv 2022. Paper

2022-11-23

Can denoising diffusion probabilistic models generate realistic astrophysical fields?

Nayantara Mudur, Douglas P. Finkbeiner

NeurIPS Workshop 2022. Paper

2022-11-22

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

arXiv 2022. Paper Project

2022-11-22

EDICT: Exact Diffusion Inversion via Coupled Transformations

Bram Wallace, Akash Gokul, Nikhil Naik

arXiv 2022. Paper Github

2022-11-22

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel

CVPR 2023. Paper Github

2022-11-22

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark

Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori

NeurIPS Workshop 2022. Paper

2022-11-22

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

arXiv 2022. Paper Github

2022-11-22

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim

arXiv 2022. Paper

2022-11-22

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim

arXiv 2022. Paper

2022-11-22

Person Image Synthesis via Denoising Diffusion Model

Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan

arXiv 2022. Paper

2022-11-22

Accelerating Diffusion Sampling with Classifier-based Feature Distillation

Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen

arXiv 2022. Paper

2022-11-22

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

arXiv 2022. Paper Github

2022-11-22

SinFusion: Training Diffusion Models on a Single Image or Video

Yaniv Nikankin, Niv Haim, Michal Irani

arXiv 2022. Paper Github

2022-11-21

Exploring Discrete Diffusion Models for Image Captioning

Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu

arXiv 2022. Paper Github

2022-11-21

Investigating Prompt Engineering in Diffusion Models

Sam Witteveen, Martin Andrews

NeurIPS Workshop 2022. Paper

2022-11-21

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

Ajay Jain, Amber Xie, Pieter Abbeel

arXiv 2022. Paper Project

2022-11-21

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao

arXiv 2022. Paper Github

2022-11-21

SinFusion: Training Diffusion Models on a Single Image or Video

Yaniv Nikankin, Niv Haim, Michal Irani

arXiv 2022. Paper

2022-11-21

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

arXiv 2022. Paper

2022-11-21

SceneComposer: Any-Level Semantic Image Synthesis

Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel

arXiv 2022. Paper Project

2022-11-21

IC3D: Image-Conditioned 3D Diffusion for Shape Generation

Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci

arXiv 2022. Paper

2022-11-20

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen

arXiv 2022. Paper Github

2022-11-20

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Xiangming Meng, Yoshiyuki Kabashima

arXiv 2022. Paper Github

2022-11-20

MagicVideo: Efficient Video Generation With Latent Diffusion Models

Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng

arXiv 2022. Paper Project

2022-11-20

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu

arXiv 2022. Paper

2022-11-19

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye

arXiv 2022. Paper

2022-11-19

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye

arXiv 2022. Paper

2022-11-19

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye

arXiv 2022. Paper

2022-11-19

Magic3D: High-Resolution Text-to-3D Content Creation

Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

CVPR 2023. Paper Project

2022-11-18

Invariant Learning via Diffusion Dreamed Distribution Shifts

Priyatham Kattakinda, Alexander Levine, Soheil Feizi

arXiv 2022. Paper

2022-11-18

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction

Wenjun Xia, Wenxiang Cong, Ge Wang

arXiv 2022. Paper

2022-11-18

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction

Wenjun Xia, Wenxiang Cong, Ge Wang

arXiv 2022. Paper

2022-11-18

A Structure-Guided Diffusion Model for Large-Hole Diverse Image Completion

Daichi Horita, Jiaolong Yang, Dong Chen, Yuki Koyama, Kiyoharu Aizawa

arXiv 2022. Paper

2022-11-18

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero

CVPR 2023. Paper Github

2022-11-17

Listen, denoise, action! Audio-driven motion synthesis with diffusion models

Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter

arXiv 2022. Paper

2022-11-17

Null-text Inversion for Editing Real Images using Guided Diffusion Model

Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or

arXiv 2022. Paper

2022-11-17

InstructPix2Pix: Learning to Follow Image Editing Instructions

Tim Brooks, Aleksander Holynski, Alexei A. Efros

CVPR 2023. Paper Project Github

2022-11-17

Conffusion: Confidence Intervals for Diffusion Models

Eliahu Horwitz, Yedid Hoshen

arXiv 2022. Paper

2022-11-17

DiffusionDet: Diffusion Model for Object Detection

Shoufa Chen, Peize Sun, Yibing Song, Ping Luo

arXiv 2022. Paper Github

2022-11-17

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields

Xie Taofeng, Cao Chentao, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng

arXiv 2022. Paper

2022-11-16

Learning to Kindle the Starlight

Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, Han Pan

arXiv 2022. Paper

2022-11-16

Superresolution Reconstruction of Single Image for Latent features

Xin Wang, Jing-Ke Yan, Jing-Ye Cai, Jian-Hua Deng, Qin Qin, Qin Wang, Heng Xiao, Yao Cheng, Peng-Fei Ye

arXiv 2022. Paper

2022-11-16

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming

Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu

arXiv 2022. Paper

2022-11-15

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model

Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi

arXiv 2022. Paper Github

2022-11-15

Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models

Adham Elarabawy, Harish Kamath, Samuel Denton

arXiv 2022. Paper

2022-11-15

ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation

Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan

arXiv 2022. Paper

2022-11-15

Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Zhihong Pan, Xin Zhou, Hao Tian

arXiv 2022. Paper

2022-11-14

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or

arXiv 2022. Paper Github

2022-11-14

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

Zhihong Pan, Xin Zhou, Hao Tian

WACV 2023. Paper

2022-11-14

Denoising Diffusion Models for Out-of-Distribution Detection

Mark S. Graham, Walter H.L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

arXiv 2022. Paper Github

2022-11-14

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding

Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou

arXiv 2022. Paper Project Github

2022-11-13

DriftRec: Adapting diffusion models to blind image restoration tasks

Simon Welker, Henry N. Chapman, Timo Gerkmann

arXiv 2022. Paper

2022-11-12

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks

Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

arXiv 2022. Paper

2022-11-11

An unobtrusive quality supervision approach for medical image annotation

Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier

arXiv 2022. Paper

2022-11-11

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks

Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

arXiv 2022. Paper

2022-11-11

ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction

Gyumin Shim, Minsoo Lee, Jaegul Choo

ACM 2022. Paper

2022-11-09

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting

CVPR 2023. Paper Github

2022-11-09

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects

Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton

RSS 2023. Paper

2022-11-08

Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

arXiv 2022. Paper

2022-11-07

From Denoising Diffusions to Denoising Markov Models

Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet

arXiv 2022. Paper Github

2022-11-07

From Denoising Diffusions to Denoising Markov Models

Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet

arXiv 2022. Paper Github

2022-11-07

Few-shot Image Generation with Diffusion Models

Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan

arXiv 2022. Paper

2022-11-07

Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

arXiv 2022. Paper Github

2022-11-04

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu

NeurIPS 2022. Paper Github

2022-11-04

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

Andreas Stöckl

arXiv 2022. Paper

2022-11-03

eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu

arXiv 2022. Paper Github

2022-11-02

Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models

Hazrat Ali, Shafaq Murad, Zubair Shah

arXiv 2022. Paper Project

2022-11-02

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems

Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier

arXiv 2022. Paper

2022-11-02

Quantized Compressed Sensing with Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

arXiv 2022. Paper Github

2022-11-02

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurIPS 2022 (Oral). Paper Github

2022-11-02

Entropic Neural Optimal Transport via Diffusion Processes

Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev

arXiv 2022. Paper

2022-11-02

An optimal control perspective on diffusion-based generative modeling

Julius Berner, Lorenz Richter, Karen Ullrich

NeurIPS Workshop 2022. Paper

2022-11-02

On the detection of synthetic images generated by diffusion models

Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva

arXiv 2022. Paper Github

2022-11-01

DOLPH: Diffusion Models for Phase Retrieval

Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov

arXiv 2022. Paper

2022-11-01

DensePure: Understanding Diffusion Models towards Adversarial Robustness

Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

NeurIPS 2022. Paper

2022-11-01

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu

arXiv 2022. Paper

2022-11-01

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu

arXiv 2022. Paper

2022-11-01

Intelligent Painter: Picture Composition With Resampling Diffusion Model

Wing-Fung Ku, Wan-Chi Siu, Xi Cheng, H. Anthony Chan

arXiv 2022. Paper

2022-10-31

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan

arXiv 2022. Paper

2022-10-30

MagicMix: Semantic Mixing with Diffusion Models

Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng

arXiv 2022. Paper Project

2022-10-28

UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance

Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu

arXiv 2022. Paper

2022-10-28

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang

EMNLP 2022. Paper Github

2022-10-27

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts

Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CVPR 2023. Paper

2022-10-27

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

arXiv 2022. Paper

2022-10-27

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

arXiv 2022. Paper

2022-10-27

Towards the Detection of Diffusion Model Deepfakes

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

arXiv 2022. Paper

2022-10-26

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau

arXiv 2022. Paper Project Github

2022-10-26

Lafite2: Few-shot Text-to-Image Generation

Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu

arXiv 2022. Paper

2022-10-25

From Points to Functions: Infinite-dimensional Representations in Diffusion Models

Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou

arXiv 2022. Paper Github

2022-10-25

High-Resolution Image Editing via Multi-Stage Blended Diffusion

Johannes Ackermann, Minjun Li

NeurIPS Workshop 2022. Paper Github

2022-10-24

Deep Equilibrium Approaches to Diffusion Models

Ashwini Pokle, Zhengyang Geng, Zico Kolter

NeurIPS 2022. Paper Github

2022-10-23

Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang

ICASSP 2023. Paper

2022-10-22

A Visual Tour Of Current Challenges In Multimodal Language Models

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

arXiv 2022. Paper

2022-10-22

Conditional Diffusion with Less Explicit Guidance via Model Predictive Control

Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas

arXiv 2022. Paper

2022-10-21

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report

Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson

arXiv 2022. Paper Github

2022-10-21

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report

Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Bradley J. Erickson

arXiv 2022. Paper Github

2022-10-21

Boomerang: Local sampling on image manifolds using diffusion models

Lorenzo Luzi, Ali Siahkoohi, Paul M Mayer, Josue Casco-Rodriguez, Richard Baraniuk

arXiv 2022. Paper Colab

2022-10-21

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Vikram Voleti, Christopher Pal, Adam Oberman

NeurIPS Workshop 2022. Paper

2022-10-21

DiffEdit: Diffusion-based semantic image editing with mask guidance

Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord

ICLR 2023. Paper

2022-10-20

Diffusion Models already have a Semantic Latent Space

Mingi Kwon, Jaeseok Jeong, Youngjung Uh

ICLR 2023. Paper Project

2022-10-20

Representation Learning with Diffusion Models

Jeremias Traub

arXiv 2022. Paper Github

2022-10-20

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach

Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li

arXiv 2022. Paper Github

2022-10-18

Differentially Private Diffusion Models

Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

arXiv 2022. Paper Project

2022-10-18

Improving Adversarial Robustness by Contrastive Guided Diffusion Process

Yidong Ouyang, Liyan Xie, Guang Cheng

arXiv 2022. Paper

2022-10-18

UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image

Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan

arXiv 2022. Paper

2022-10-18

Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation

Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai

arXiv 2022. Paper

2022-10-18

Imagic: Text-Based Real Image Editing with Diffusion Models

Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani

CVPR 2023. Paper Project

2022-10-17

Meta-Learning via Classifier(-free) Guidance

Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe

arXiv 2022. Paper

2022-10-17

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models

Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang

arXiv 2022. Paper

2022-10-16

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models

Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang

arXiv 2022. Paper

2022-10-13

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction

Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu

AAAI 2023. Paper

2022-10-12

LION: Latent Point Diffusion Models for 3D Shape Generation

Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

NeurIPS 2022. Paper Project

2022-10-12

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation

Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak

WACV 2022. Paper

2022-10-12

Self-Guided Diffusion Models

Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

arXiv 2022. Paper Project

2022-10-12

Markup-to-Image Diffusion Models with Scheduled Sampling

Yuntian Deng, Noriyuki Kojima, Alexander M. Rush

ICLR 2023. Paper

2022-10-11

A generic diffusion-based approach for 3D human pose prediction in the wild

Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi

ICRA 2023. Paper

2022-10-11

Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Chen Henry Wu, Fernando De la Torre

arXiv 2022. Paper Github-1 Github-2

2022-10-11

Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Chen Henry Wu, Fernando De la Torre

arXiv 2022. Paper Github-1 Github-2

2022-10-11

GENIE: Higher-Order Denoising Diffusion Solvers

Tim Dockhorn, Arash Vahdat, Karsten Kreis

NeurIPS 2022. Paper Project Github

2022-10-11

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture

arXiv 2022. Paper Github

2022-10-10

CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

Shitong Xu

arXiv 2022. Paper Github

2022-10-10

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind

arXiv 2022. Paper Project

2022-10-10

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains

Pierre Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari

arXiv 2022. Paper

2022-10-09

Neural Volumetric Mesh Generator

Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

NeurIPS Workshop 2022. Paper

2022-10-06

Novel View Synthesis with Diffusion Models

Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi

ICLR 2023. Paper

2022-10-06

On Distillation of Guided Diffusion Models

Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

arXiv 2022. Paper

2022-10-06

Imagen Video: High Definition Video Generation with Diffusion Models

Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans

arXiv 2022. Paper

2022-10-05

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics

Ivan Kapelyukh, Vitalis Vosylius, Edward Johns

IEEE RA-L 2022. Paper

2022-10-05

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models

Paramanand Chandramouli, Kanchana Vaishnavi Gandikota

BMVC 2022. Paper

2022-10-05

clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP

Justin N. M. Pinkney, Chuan Li

BMVC 2022. Paper Github

2022-10-05

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation

Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch

BMVC 2022. Paper

2022-10-04

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation

Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch

BMVC 2022. Paper

2022-10-04

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation

Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch

BMVC 2022. Paper

2022-10-04

Membership Inference Attacks Against Text-to-image Generation Models

Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang

arXiv 2022. Paper

2022-10-03

Improving Sample Quality of Diffusion Model Using Self-Attention Guidance

Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim

arXiv 2022. Paper Project

2022-10-03

OCD: Learning to Overfit with Conditional Diffusion Models

Shahar Shlomo Lutati, Lior Wolf

arXiv 2022. Paper Github

2022-10-02

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

Ali Borji

arXiv 2022. Paper Github

2022-10-02

Diffusion-based Image Translation using Disentangled Style and Content Representation

Gihyun Kwon, Jong Chul Ye

arXiv 2022. Paper

2022-09-30

Human Motion Diffusion Model

Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or

arXiv 2022. Paper Project

2022-09-29

Denoising Diffusion Probabilistic Models for Styled Walking Synthesis

Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum

ICLR 2023. Paper

2022-09-29

Make-A-Video: Text-to-Video Generation without Text-Video Data

Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman

arXiv 2022. Paper

2022-09-29

DreamFusion: Text-to-3D using 2D Diffusion

Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

arXiv 2022. Paper Github

2022-09-29

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen

arXiv 2022. Paper

2022-09-29

Creative Painting with Latent Diffusion Models

Xianchao Wu

arXiv 2022. Paper

2022-09-29

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Boah Kim, Yujin Oh, Jong Chul Ye

arXiv 2022. Paper

2022-09-29

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup

Wenjun Xia, Qing Lyu, Ge Wang

arXiv 2022. Paper

2022-09-29

Diffusion Posterior Sampling for General Noisy Inverse Problems

Hyungjin Chung, Jeongsol Kim, Michael T. Mccann, Marc L. Klasky, Jong Chul Ye

arXiv 2022. Paper Github

2022-09-29

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup

Wenjun Xia, Qing Lyu, Ge Wang

arXiv 2022. Paper

2022-09-29

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Boah Kim, Yujin Oh, Jong Chul Ye

arXiv 2022. Paper

2022-09-29

Denoising MCMC for Accelerating Diffusion-Based Generative Models

Beomsu Kim, Jong Chul Ye

arXiv 2022. Paper Github

2022-09-29

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu

ACM MM 2022. Paper Github

2022-09-27

Personalizing Text-to-Image Generation via Aesthetic Gradients

Victor Gallego

NeurIPS Workshop 2022. Paper Github

2022-09-25

All are Worth Words: a ViT Backbone for Score-based Diffusion Models

Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu

arXiv 2022. Paper

2022-09-25

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Qing Lyu, Ge Wang

arXiv 2022. Paper

2022-09-24

Face Super-Resolution Using Stochastic Differential Equations

Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti

arXiv 2022. Paper Github

2022-09-24

Best Prompts for Text-to-Image Models and How to Find Them

Nikita Pavlichenko, Dmitry Ustalov

NeurIPS Workshop 2022. Paper

2022-09-23

JPEG Artifact Correction using Denoising Diffusion Restoration Models

Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad

arXiv 2022. Paper

2022-09-23

MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation

Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim

arXiv 2022. Paper Project

2022-09-22

The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

arXiv 2022. Paper Github

2022-09-19

T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

Nithin Gopalakrishnan Nair, Vishal M. Patel

arXiv 2022. Paper

2022-09-19

Neural Wavelet-domain Diffusion for 3D Shape Generation

Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu

arXiv 2022. Paper

2022-09-19

Delving Globally into Texture and Structure for Image Inpainting

Haipeng Liu, Yang Wang, Meng Wang, Yong Rui

ACM 2022. Paper Github

2022-09-17

Can segmentation models be trained with fully synthetically generated data?

Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso

arXiv 2022. Paper

2022-09-17

Can segmentation models be trained with fully synthetically generated data?

Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso

arXiv 2022. Paper

2022-09-17

Brain Imaging Generation with Latent Diffusion Models

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

arXiv 2022. Paper

2022-09-15

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models

Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre

NeurIPS 2022. Paper Github

2022-09-14

PET image denoising based on denoising diffusion probabilistic models

Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan

arXiv 2022. Paper

2022-09-13

PET image denoising based on denoising diffusion probabilistic models

Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan

arXiv 2022. Paper

2022-09-13

Blurring Diffusion Models

Emiel Hoogeboom, Tim Salimans

arXiv 2022. Paper

2022-09-12

Soft Diffusion: Score Matching for General Corruptions

Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar

arXiv 2022. Paper

2022-09-12

ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

ICLR 2023. Paper Github

2022-09-09

ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

ICLR 2023. Paper Github

2022-09-09

Improved Masked Image Generation with Token-Critic

José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

arXiv 2022. Paper

2022-09-09

SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion

Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters

arXiv 2022. Paper Github

2022-09-08

First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data

Mao Ye, Lemeng Wu, Qiang Liu

NeruIPS 2022. Paper

2022-09-02

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction

Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

IEEE TMI 2022. Paper

2022-09-02

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction

Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

IEEE TMI 2022. Paper

2022-09-02

FLAME: Free-form Language-based Motion Synthesis & Editing

Jihoon Kim, Jiseob Kim, Sungjoon Choi

AAAI 2023. Paper

2022-09-01

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

NeurIPS Workshop 2022. Paper

2022-08-31

MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu

arXiv 2022. Paper Project

2022-08-31

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

arXiv 2022. Paper

2022-08-31

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

arXiv 2022. Paper

2022-08-31

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr

arXiv 2022. Paper

2022-08-30

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang

arXiv 2022. Paper

2022-08-29

Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model

Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng

arXiv 2022. Paper Project

2022-08-26

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman

CVPR 2023. Paper Project Github

2022-08-25

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models

Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M Patel

arXiv 2022. Paper

2022-08-24

Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism

Yongwei Wang, Yuan Li, Zhiqi Shen

arXiv 2022. Paper

2022-08-22

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition

Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao

arXiv 2022. Paper

2022-08-21

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition

Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao

arXiv 2022. Paper

2022-08-21

Diffusion Models Beat GANs on Topology Optimization

François Mazé, Faez Ahmed

AAAI 2022. Paper Project Github

2022-08-20

Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation

Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu

arXiv 2022. Paper

2022-08-19

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein

arXiv 2022. Paper Github

2022-08-19

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein

arXiv 2022. Paper Github

2022-08-19

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance

Bahjat Kawar, Roy Ganz, Michael Elad

arXiv 2022. Paper

2022-08-18

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji

arXiv 2022. Paper Github

2022-08-16

Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling

Ki-Ung Song

arXiv 2022. Paper Github

2022-08-15

High-Frequency Space Diffusion Models for Accelerated MRI

Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu

arXiv 2022. Paper

2022-08-10

High-Frequency Space Diffusion Models for Accelerated MRI

Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu

arXiv 2022. Paper

2022-08-10

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Ting Chen, Ruixiang Zhang, Geoffrey Hinton

arXiv 2022. Paper

2022-08-08

Pyramidal Denoising Diffusion Probabilistic Models

Dohoon Ryu, Jong Chul Ye

arXiv 2022. Paper

2022-08-03

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

Ozan Özdenizci, Robert Legenstein

arXiv 2022. Paper Github

2022-07-29

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

Ozan Özdenizci, Robert Legenstein

arXiv 2022. Paper

2022-07-29

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

Robin Rombach, Andreas Blattmann, Björn Ommer

arXiv 2022. Paper Github

2022-07-26

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization

Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

MICCAI 2022. Paper Github

2022-07-25

Deep Diffusion Models for Seismic Processing

Ricard Durall, Ammar Ghanim, Mario Fernandez, Norman Ettrich, Janis Keuper

arXiv 2022. Paper

2022-07-21

Non-Uniform Diffusion Models

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

arXiv 2022. Paper

2022-07-20

Non-Uniform Diffusion Models

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

arXiv 2022. Paper

2022-07-20

Threat Model-Agnostic Adversarial Defense using Diffusion Models

Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad

arXiv 2022. Paper Github

2022-07-17

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur

arXiv 2022. Paper

2022-07-17

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur

arXiv 2022. Paper

2022-07-17

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur

arXiv 2022. Paper

2022-07-17

DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu

ECCV 2022. Paper Project Github

2022-07-16

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis

Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye

arxiv 2022. Paper Github

2022-07-16

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu

arXiv 2022. Paper

2022-07-14

Adaptive Diffusion Priors for Accelerated MRI Reconstruction

Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur

arXiv 2022. Paper

2022-07-12

Adaptive Diffusion Priors for Accelerated MRI Reconstruction

Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur

arXiv 2022. Paper

2022-07-12

Improving Diffusion Model Efficiency Through Patching

Troy Luhman, Eric Luhman

arXiv 2022. Paper Github

2022-07-09

Back to the Source: Diffusion-Driven Test-Time Adaptation

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

arXiv 2022. Paper Github

2022-07-07

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen

arXiv 2022. Paper

2022-07-07

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen

arXiv 2022. Paper

2022-07-07

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng

ECCV 2022. Paper

2022-07-05

Semantic Image Synthesis via Diffusion Models

Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

arXiv 2022. Paper

2022-06-30

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations

Jinsung Jeon, Noseong Park

arxiv 2022. Paper

2022-06-29

Diffusion Deformable Model for 4D Temporal Medical Image Generation

Boah Kim, Jong Chul Ye

MICCAI 2022. Paper Github

2022-06-27

Remote Sensing Change Detection (Segmentation) using Denoising Diffusion Probabilistic Models

Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel

arXiv 2022. Paper Github

2022-06-23

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

arXiv 2022. Paper

2022-06-23

(Certified!!) Adversarial Robustness for Free!

Nicholas Carlini, Florian Tramer, Krishnamurthy (Dj)Dvijotham, J. Zico Kolter

ICLR 2023. Paper

2022-06-21

Generative Modelling With Inverse Heat Dissipation

Severi Rissanen, Markus Heinonen, Arno Solin

arXiv 2022. Paper Project

2022-06-21

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease

Junren Pan, Shuqiang Wang

arXiv 2022. Paper

2022-06-20

Guided Diffusion Model for Adversarial Purification from Random Noise

Quanlin Wu, Hang Ye, Yuntian Gu

arXiv 2022. Paper

2022-06-17

Diffusion models as plug-and-play priors

Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras

arXiv 2022. Paper

2022-06-17

Diffusion models as plug-and-play priors

Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras

NeurIPS 2022. Paper Github

2022-06-17

A Flexible Diffusion Model

Weitao Du, Tao Yang, He Zhang, Yuanqi Du

ICML 2023. Paper

2022-06-17

Lossy Compression with Gaussian Diffusion

Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer

arXiv 2022. Paper

2022-06-17

Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching

Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

ICML 2022. Paper Github

2022-06-16

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation

Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan

ICLR 2023. Paper Github

2022-06-15

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation

Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan

arXiv 2022. Paper Github

2022-06-15

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

ICML 2022. Paper Github

2022-06-15

Diffusion Models for Video Prediction and Infilling

Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

arXiv 2022. Paper

2022-06-15

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation

Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan

arXiv 2022. Paper Github

2022-06-15

gDDIM: Generalized denoising diffusion implicit models

Qinsheng Zhang, Molei Tao, Yongxin Chen

arXiv 2022. Paper Github

2022-06-11

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models

Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi

arXiv 2022. Paper

2022-06-10

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models

Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel

arXiv 2022. Paper

2022-06-10

SAR Despeckling using a Denoising Diffusion Probabilistic Model

Malsha V. Perera, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel

arXiv 2022. Paper

2022-06-09

Accelerating Score-based Generative Models for High-Resolution Image Synthesis

Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng

arXiv 2022. Paper

2022-06-08

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos

MICCAI 2022. Paper

2022-06-07

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos

MICCAI 2022. Paper

2022-06-07

Blended Latent Diffusion

Omri Avrahami, Ohad Fried, Dani Lischinski

ACM 2022. Paper Project Github

2022-06-06

Diffusion-GAN: Training GANs with Diffusion

Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

arXiv 2022. Paper

2022-06-05

Compositional Visual Generation with Composable Diffusion Models

Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum

ECCV 2022. Paper Project Github

2022-06-03

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye

arXiv 2022. Paper

2022-06-02

Improving Diffusion Models for Inverse Problems using Manifold Constraints

Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye

arXiv 2022. Paper

2022-06-02

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurrIPS 2022. Paper Github

2022-06-02

DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder

Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan

arXiv 2022. Paper

2022-06-01

AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks

CVPR Workshop 2022. Paper Github

2022-06-01

Elucidating the Design Space of Diffusion-Based Generative Models

Tero Karras, Miika Aittala, Timo Aila, Samuli Laine

NeurIPS 2022. Paper

2022-06-01

Improved Vector Quantized Diffusion Models

Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen

arXiv 2022. Paper Github

2022-05-31

Text2Human: Text-Driven Controllable Human Image Generation

Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, Ziwei Liu

ACM 2022. Paper Github

2022-05-31

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models

Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak

NeurIPS 2022. Paper

2022-05-31

Guided Diffusion Model for Adversarial Purification

Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu

ICML 2022. Paper Github

2022-05-30

Few-Shot Diffusion Models

Giorgio Giannone, Didrik Nielsen, Ole Winther

arXiv 2022. Paper

2022-05-30

A Continuous Time Framework for Discrete Denoising Models

Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet

arXiv 2022. Paper

2022-05-30

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon

NeurIPS 2022. Paper

2022-05-27

Pretraining is All You Need for Image-to-Image Translation

Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen

arXiv 2022. Paper Project Github

2022-05-25

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai

ICML 2022. Paper

2022-05-25

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi

NeurIPS 2022. Paper Github

2022-05-23

Decoder Denoising Pretraining for Semantic Segmentation

Emmanuel Brempong Asiedu, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

arXiv 2022. Paper

2022-05-23

Flexible Diffusion Modeling of Long Videos

William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

arXiv 2022. Paper Github

2022-05-23

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal

NeurIPS 2022. Paper Github

2022-05-19

Diffusion Models for Adversarial Purification

Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar

ICML 2022. Paper Project Github

2022-05-16

VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge

Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai

arXiv 2022. Paper

2022-05-16

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models

Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

CVPR Workshop 2022. Paper

2022-05-08

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

arXiv 2022. Paper Github

2022-05-03

Fast Sampling of Diffusion Models with Exponential Integrator

Qinsheng Zhang, Yongxin Chen

arXiv 2022. Paper

2022-04-29

Retrieval-Augmented Diffusion Models

Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer

NeurIPS 2022. Paper Github

2022-04-25

Semi-Parametric Neural Image Synthesis

Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer

NeurIPS 2022. Paper

2022-04-25

Hierarchical Text-Conditional Image Generation with CLIP Latents

Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen

arXiv 2022. Paper Github

2022-04-13

Video Diffusion Models

Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet

NeurIPS 2022. Paper

2022-04-07

KNN-Diffusion: Image Generation via Large-Scale Retrieval

Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman

ICLR 2023. Paper

2022-04-06

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin

arXiv 2022. Paper

2022-04-06

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin

arXiv 2022. Paper

2022-04-06

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin

arXiv 2022. Paper

2022-04-06

Perception Prioritized Training of Diffusion Models

Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon

CVPR 2022. Paper Github

2022-04-01

Generating High Fidelity Data from Low-density Regions using Diffusion Models

Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer

arXiv 2022. Paper

2022-03-31

Diffusion Models for Counterfactual Explanations

Guillaume Jeanneret, Loïc Simon, Frédéric Jurie

arXiv 2022. Paper

2022-03-29

Denoising Likelihood Score Matching for Conditional Score-based Data Generation

Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

ICLR 2022. Paper

2022-03-27

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen L

CVPR 2022. Paper Github

2022-03-25

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

Hyungjin Chung, Eun Sun Lee, Jong Chul Ye

arXiv 2022. Paper

2022-03-23

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

Hyungjin Chung, Eun Sun Lee, Jong Chul Ye

arXiv 2022. Paper

2022-03-23

Dual Diffusion Implicit Bridges for Image-to-Image Translation

Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon

arXiv 2022. Paper

2022-03-16

Diffusion Probabilistic Modeling for Video Generation

Ruihan Yang, Prakhar Srivastava, Stephan Mandt

arXiv 2022. Paper Github

2022-03-16

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa

arXiv 2022. Paper Github

2022-03-08

Diffusion Models for Medical Anomaly Detection

Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin

MICCAI 2022. Paper Github

2022-03-08

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa

arXiv 2022. Paper Github

2022-03-08

Dynamic Dual-Output Diffusion Models

Yaniv Benny, Lior Wolf

CVPR 2022. Paper

2022-03-08

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Yutong Xie, Quanzheng Li

MICCAI 2022. Paper Github

2022-03-05

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

Yutong Xie, Quanzheng Li

MICCAI 2022. Paper Github

2022-03-05

Conditional Simulation Using Diffusion Schrödinger Bridges

Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet

arXiv 2022. Paper

2022-02-27

Diffusion Causal Models for Counterfactual Estimation

Pedro Sanchez, Sotirios A. Tsaftaris

PMLR 2022. Paper

2022-02-21

Pseudo Numerical Methods for Diffusion Models on Manifolds

Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao

ICLR 2022. Paper Github

2022-02-20

Truncated Diffusion Probabilistic Models

Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

arXiv 2022. Paper

2022-02-19

Understanding DDPM Latent Codes Through Optimal Transport

Valentin Khrulkov, Ivan Oseledets

arXiv 2022. Paper

2022-02-14

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi

ICLR 2022. Paper

2022-02-11

Diffusion bridges vector quantized Variational AutoEncoders

Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines

ICML 2022. Paper

2022-02-10

MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation

Guanxiong Luo, Martin Heide, Martin Uecker

arXiv 2022. Paper Github

2022-02-03

MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation

Guanxiong Luo, Martin Heide, Martin Uecker

arXiv 2022. Paper Github

2022-02-03

Progressive Distillation for Fast Sampling of Diffusion Models

Tim Salimans, Jonathan Ho

ICLR 2022. Paper

2022-02-01

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

Dewei Hu, Yuankai K. Tao, Ipek Oguz

arXiv 2022. Paper Github

2022-01-27

Denoising Diffusion Restoration Models

Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song

ICLR 2022 Workshop (Oral). Paper

2022-01-27

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

Dewei Hu, Yuankai K. Tao, Ipek Oguz

arXiv 2022. Paper Github

2022-01-27

Denoising Diffusion Restoration Models

Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song

NeurIPS 2022. Paper

2022-01-27

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, Luc Van Gool

CVPR 2022. Paper Github

2022-01-24

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

ICLR 2022. Paper

2022-01-17

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar

arXiv 2022. Paper Github

2022-01-02

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar

arXiv 2022. Paper Github

2022-01-02

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn

arXiv 2021. Paper Project

2021-12-30

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn

CVPR 2022. Paper Project Github

2021-12-30

Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives

Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe

arXiv 2021. Paper

2021-12-26

TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models

Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia

Elsveier Knowledge-Based Systems 2021. Paper

2021-12-20

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

CVPR 2022. Paper Github

2021-12-20

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

CVPR 2022. Paper Github

2021-12-20

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen

ICML 2021. Paper Github

2021-12-20

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

arXiv 2021. Paper Github

2021-12-20

Heavy-tailed denoising score matching

Jacob Deasy, Nikola Simidjievski, Pietro Liò

arXiv 2021. Paper

2021-12-17

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

Florian Bordes, Randall Balestriero, Pascal Vincent

arXiv 2021. Paper

2021-12-16

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

ICLR 2022 (Spotlight). Paper Project

2021-12-15

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

arXiv 2021. Paper Project

2021-12-15

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Tim Dockhorn, Arash Vahdat, Karsten Kreis

ICLR 2022. Paper Project

2021-12-14

More Control for Free! Image Synthesis with Semantic Diffusion Guidance

Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell

WACV 2021. Paper Project

2021-12-10

More Control for Free! Image Synthesis with Semantic Diffusion Guidance

Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell

arXiv 2021. Paper

2021-12-10

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

Hyungjin Chung, Byeongsu Sim, Jong Chul Ye

CVPR 2021. Paper

2021-12-09

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

Hyungjin Chung, Byeongsu Sim, Jong Chul Ye

CVPR 2022. Paper

2021-12-09

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models

Boah Kim, Inhwa Han, Jong Chul Ye

arXiv 2021. Paper

2021-12-09

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin

ICLR 2022. Paper Github

2021-12-07

Label-Efficient Semantic Segmentation with Diffusion Models

Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko

ICLR 2021. Paper Github

2021-12-06

Diffusion Models for Implicit Image Segmentation Ensembles

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin

MIDL 2021. Paper

2021-12-06

Deblurring via Stochastic Refinement

Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar

CVPR 2022. Paper

2021-12-05

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation

Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P.N.Suganthan

arXiv 2021. Paper

2021-12-03

SegDiff: Image Segmentation with Diffusion Probabilistic Models

Tomer Amit, Eliya Nachmani, Tal Shaharbany, Lior Wolf

arXiv 2021. Paper

2021-12-01

Blended Diffusion for Text-driven Editing of Natural Images

Omri Avrahami, Dani Lischinski, Ohad Fried

CVPR 2022. Paper Project Github

2021-11-29

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo

CVPR 2022. Paper Github

2021-11-29

Conditional Image Generation with Score-Based Diffusion Models

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

arXiv 2021. Paper

2021-11-26

Conditional Image Generation with Score-Based Diffusion Models

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

arXiv 2021. Paper

2021-11-26

Conditional Image Generation with Score-Based Diffusion Models

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

arXiv 2021. Paper

2021-11-26

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes

Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks

arXiv 2021. Paper Github

2021-11-24

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

NeurIPS Workshop 2021. Paper Github

2021-11-15

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

NeurIPS Workshop 2021. Paper Github

2021-11-15

S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process

Chulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce Elmegreen

NeurIPS 2022. Paper

2021-11-08

Diffusion Normalizing Flow

Qinsheng Zhang, Yongxin Chen

NeurIPS 2021. Paper Github

2021-10-14

Denoising Diffusion Gamma Models

Eliya Nachmani, Robin San Roman, Lior Wolf

arXiv 2021. Paper

2021-10-10

Score-based diffusion models for accelerated MRI

Hyungjin Chung, Jong chul Ye

MIA 2021. Paper Github

2021-10-08

Score-based diffusion models for accelerated MRI

Hyungjin Chung, Jong chul Ye

MIA 2021. Paper Github

2021-10-08

Score-based Generative Neural Networks for Large-Scale Optimal Transport

Max Daniels, Tyler Maunu, Paul Hand

arXiv 2021. Paper

2021-10-07

DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

Gwanghyun Kim, Jong Chul Ye

CVPR 2022. Paper Github

2021-10-06

Autoregressive Diffusion Models

Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans

ICLR 2022. Paper

2021-10-05

Score-Based Generative Classifiers

Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt

arXiv 2021. Paper

2021-10-01

Classifier-Free Diffusion Guidance

Jonathan Ho, Tim Salimans

NeurIPS Workshop 2021. Paper

2021-09-28

Bilateral Denoising Diffusion Models

Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu

arXiv 2021. Paper Project

2021-08-26

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer

NeurIPS 2021. Paper Project

2021-08-19

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon

ICCV 2021 (Oral). Paper Github

2021-08-06

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon

ICCV 2021 (Oral). Paper Github

2021-08-06

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon

ICCV 2021 (Oral). Paper Github

2021-08-06

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

ICLR 2022. Paper Project Github

2021-08-02

Score-Based Point Cloud Denoising

Shitong Luo, Wei H

ICCV 2021. Paper Github

2021-07-23

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

NeurIPS 2021. Paper

2021-07-07

Variational Diffusion Models

Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho

arXiv 2021. Paper Github

2021-07-01

Diffusion Priors In Variational Autoencoders

Antoine Wehenkel, Gilles Louppe

ICML Workshop 2021. Paper

2021-06-29

Deep Generative Learning via Schrödinger Bridge

Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang

ICML 2021. Paper

2021-06-19

Non Gaussian Denoising Diffusion Models

Eliya Nachmani, Robin San Roman, Lior Wolf

arXiv 2021. Paper Project

2021-06-14

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon

NeurIPS 2021. Paper Project Github

2021-06-12

Adversarial purification with Score-based generative models

Jongmin Yoon, Sung Ju Hwang, Juho Lee

ICML 2021. Paper Github

2021-06-11

Score-based Generative Modeling in Latent Space

Arash Vahdat, Karsten Kreis, Jan Kautz

arXiv 2021. Paper

2021-06-10

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

ICML 2022. Paper

2021-06-10

Learning to Efficiently Sample from Diffusion Probabilistic Models

Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan

arXiv 2021. Paper

2021-06-07

A Variational Perspective on Diffusion-Based Generative Models and Score Matching

Chin-Wei Huang, Jae Hyun Lim, Aaron Courville

NeurIPS 2021. Paper Github

2021-06-05

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet

arXiv 2021. Paper Project Github

2021-06-01

On Fast Sampling of Diffusion Probabilistic Models

Zhifeng Kong, Wei Ping

ICML Workshop 2021. Paper Github

2021-05-31

Cascaded Diffusion Models for High Fidelity Image Generation*

Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans

arXiv 2021. Paper Project

2021-05-30

Cascaded Diffusion Models for High Fidelity Image Generation

Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans

JMLR 2021. Paper Project

2021-05-30

Gotta Go Fast When Generating Data with Score-Based Models

Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

arXiv 2021. Paper Github

2021-05-28

Diffusion Models Beat GANs on Image Synthesis

Prafulla Dhariwal, Alex Nichol

arXiv 2021. Paper Github

2021-05-11

SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models

Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen

ACM 2022. Paper

2021-04-30

Image Super-Resolution via Iterative Refinement*

Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi

arXiv 2021. Paper Project Github

2021-04-15

Image Super-Resolution via Iterative Refinement

Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi

arXiv 2021. Paper Project Github

2021-04-15

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models*

Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon

arXiv 2021. Paper

2021-04-12

3D Shape Generation and Completion through Point-Voxel Diffusion

Linqi Zhou, Yilun Du, Jiajun Wu

ICCV 2021. Paper Project

2021-04-08

Noise Estimation for Generative Diffusion Models

Robin San-Roman, Eliya Nachmani, Lior Wolf

arXiv 2021. Paper

2021-04-06

Diffusion Probabilistic Models for 3D Point Cloud Generation

Shitong Luo, Wei Hu

CVPR 2021. Paper Github

2021-03-02

Improved Denoising Diffusion Probabilistic Models

Alex Nichol, Prafulla Dhariwal

ICLR 2021. Paper Github

2021-02-18

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling

NeurIPS 2021. Paper

2021-02-10

Maximum Likelihood Training of Score-Based Diffusion Models

Yang Song, Conor Durkan, Iain Murray, Stefano Ermon

arXiv 2021. Paper

2021-01-22

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Eric Luhman, Troy Luhman

arXiv 2021. Paper Github

2021-01-07

Learning Energy-Based Models by Diffusion Recovery Likelihood

Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma

ICLR 2021. Paper Github

2020-12-15

Score-Based Generative Modeling through Stochastic Differential Equations

Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

ICLR 2021 (Oral). Paper Github

2020-11-26

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models

Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

ICML 2021. Paper

2020-10-16

Denoising Diffusion Implicit Models*

Jiaming Song, Chenlin Meng, Stefano Ermon

ICLR 2021. Paper Github

2020-10-06

Adversarial score matching and improved sampling for image generation

Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas

ICLR 2021. Paper Github

2020-09-11

Denoising Diffusion Probabilistic Models

Jonathan Ho, Ajay Jain, Pieter Abbeel

NeurIPS 2020. Paper Github Github2

2020-06-19

Improved Techniques for Training Score-Based Generative Models

Yang Song, Stefano Ermon

NeurIPS 2020. Paper Github

2020-06-16

Generative Modeling by Estimating Gradients of the Data Distribution

Yang Song, Stefano Ermon

NeurIPS 2019. Paper Project Github

2019-07-12

Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit

Belinda Tzen, Maxim Raginsky

arXiv 2019. Paper

2019-05-23

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli

ICML 2015. Paper Github

2015-03-02