1. Word-As-Image for Semantic Typography
    Shir Iluz1, Yael Vinker1, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir
    arXiv 2023. Paper  
    2023-03-03
    2023-03-03
  2. Monocular Depth Estimation using Diffusion Models
    Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
    arXiv 2023. Paper  
    2023-02-28
    2023-02-28
  3. Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition
    Yifan Jiang, Han Chen, Hanseok Ko
    arXiv 2023. Paper   Github  
    2023-02-26
    2023-02-26
  4. Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition
    Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori
    arXiv 2023. Paper  
    2023-02-26
    2023-02-26
  5. 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
    2023-02-17
  6. 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
    2023-02-15
  7. 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
    2023-02-07
  8. Effective Data Augmentation With Diffusion Models
    Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
    arXiv 2023. Paper   Project  
    2023-02-07
    2023-02-07
  9. Learning End-to-End Channel Coding with Diffusion Models
    Muah Kim, Rick Fritschek, Rafael F. Schaefer
    arXiv 2023. Paper  
    2023-02-03
    2023-02-03
  10. Extracting Training Data from Diffusion Models
    Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
    arXiv 2023. Paper  
    2023-02-02
    2023-02-02
  11. Diffusion Models for High-Resolution Solar Forecasts
    Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski
    arxiv 2023. Paper  
    2023-02-01
    2023-02-01
  12. PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
    Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
    arXiv 2023. Paper  
    2023-01-27
    2023-01-27
  13. 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
    2023-01-27
  14. A Denoising Diffusion Model for Fluid Field Prediction
    Gefan Yang1, Stefan Sommer1
    arXiv 2023. Paper  
    2023-01-27
    2023-01-27
  15. On the Importance of Noise Scheduling for Diffusion Models
    Ting Chen
    arXiv 2023. Paper  
    2023-01-26
    2023-01-26
  16. Screen Space Indirect Lighting with Visibility Bitmask
    Olivier Therrien, Yannick Levesque, Guillaume Gilet
    arXiv 2023. Paper  
    2023-01-26
    2023-01-26
  17. 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
    arXiv 2023. Paper   Project  
    2023-01-23
    2023-01-23
  18. 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
    2023-01-19
  19. Neural Image Compression with a Diffusion-Based Decoder
    Noor Fathima Goose1, Jens Petersen1, Auke Wiggers1, Tianlin Xu, Guillaume Sautière
    arXiv 2023. Paper  
    2023-01-13
    2023-01-13
  20. Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
    Mohamed Akrout1, Bálint Gyepesi1, 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
    2023-01-12
  21. 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
    2023-01-10
  22. 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
    2023-01-10
  23. Diffusion Models For Stronger Face Morphing Attacks
    Zander Blasingame, Chen Liu
    arXiv 2023. Paper  
    2023-01-10
    2023-01-10
  24. 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
    2023-01-10
  25. 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
    2023-01-06
  26. 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
    2022-12-21
  27. Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
    Lorin Sweeney, Graham Healy, Alan F. Smeaton
    arXiv 2022. Paper  
    2022-12-19
    2022-12-19
  28. AI Art in Architecture
    Joern Ploennigs, Markus Berger
    arXiv 2022. Paper  
    2022-12-19
    2022-12-19
  29. Fake it till you make it: Learning(s) from a synthetic ImageNet clone
    Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
    arXiv 2022. Paper  
    2022-12-16
    2022-12-16
  30. 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
    arXiv 2022. Paper  
    2022-12-14
    2022-12-14
  31. 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
    2022-12-13
  32. 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
    2022-12-12
  33. How to Backdoor Diffusion Models?
    Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
    arXiv 2022. Paper  
    2022-12-11
    2022-12-11
  34. 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
    2022-12-11
  35. Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
    Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
    arXiv 2022. Paper  
    2022-12-07
    2022-12-07
  36. 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
    2022-12-07
  37. Semantic-Conditional Diffusion Networks for Image Captioning
    Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei
    arXiv 2022. Paper   Github  
    2022-12-06
    2022-12-06
  38. Neural Cell Video Synthesis via Optical-Flow Diffusion
    Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
    arXiv 2022. Paper  
    2022-12-06
    2022-12-06
  39. 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
    2022-12-02
  40. 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
    2022-11-28
  41. Post-training Quantization on Diffusion Models
    Yuzhang Shang1, Zhihang Yuan1, Bin Xie1, Bingzhe Wu, Yan Yan
    arXiv 2022. Paper  
    2022-11-28
    2022-11-28
  42. Diffusion Probabilistic Model Made Slim
    Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
    arXiv 2022. Paper  
    2022-11-27
    2022-11-27
  43. BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
    German Barquero, Sergio Escalera, Cristina Palmero
    arXiv 2022. Paper  
    2022-11-25
    2022-11-25
  44. 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
    2022-11-24
  45. Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
    Jennifer C. White, Ryan Cotterell
    arXiv 2022. Paper  
    2022-11-23
    2022-11-23
  46. Inversion-Based Creativity Transfer with Diffusion Models
    Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
    arXiv 2022. Paper  
    2022-11-23
    2022-11-23
  47. Make-A-Story: Visual Memory Conditioned Consistent Story Generation
    Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
    arXiv 2022. Paper  
    2022-11-23
    2022-11-23
  48. 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
    2022-11-23
  49. 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
    2022-11-22
  50. 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
    2022-11-22
  51. Can denoising diffusion probabilistic models generate realistic astrophysical fields?
    Nayantara Mudur, Douglas P. Finkbeiner
    NeurIPS Workshop 2022. Paper  
    2022-11-22
    2022-11-22
  52. 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
    2022-11-21
  53. 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
    2022-11-21
  54. Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
    Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
    arXiv 2022. Paper  
    2022-11-20
    2022-11-20
  55. DiffusionDet: Diffusion Model for Object Detection
    Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
    arXiv 2022. Paper   Github  
    2022-11-17
    2022-11-17
  56. 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
    2022-11-16
  57. 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
    2022-11-15
  58. 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
    2022-11-15
  59. 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  
    2022-11-14
    2022-11-14
  60. Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
    Zhihong Pan, Xin Zhou, Hao Tian
    arXiv 2022. Paper  
    2022-11-14
    2022-11-14
  61. Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
    Andreas Stöckl
    arXiv 2022. Paper  
    2022-11-03
    2022-11-03
  62. Quantized Compressed Sensing with Score-Based Generative Models
    Xiangming Meng, Yoshiyuki Kabashima
    arXiv 2022. Paper   Github  
    2022-11-02
    2022-11-02
  63. DOLPH: Diffusion Models for Phase Retrieval
    Shirin Shoushtari1, Jiaming Liu1, Ulugbek S. Kamilov
    arXiv 2022. Paper  
    2022-11-01
    2022-11-01
  64. 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  
    2022-11-01
    2022-11-01
  65. 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
    2022-10-30
  66. Towards the Detection of Diffusion Model Deepfakes
    Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
    arXiv 2022. Paper  
    2022-10-26
    2022-10-26
  67. 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
    2022-10-25
  68. 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
    2022-10-21
  69. 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
    2022-10-18
  70. Meta-Learning via Classifier(-free) Guidance
    Elvis Nava1, Seijin Kobayashi1, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
    arXiv 2022. Paper  
    2022-10-17
    2022-10-17
  71. 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
    2022-10-13
  72. Markup-to-Image Diffusion Models with Scheduled Sampling
    Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
    arXiv 2022. Paper  
    2022-10-11
    2022-10-11
  73. CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
    Shitong Xu
    arXiv 2022. Paper   Github  
    2022-10-10
    2022-10-10
  74. 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
    2022-10-10
  75. Diffusion Models Beat GANs on Topology Optimization
    François Mazé, Faez Ahmed
    arXiv 2022. Paper   Project   Github  
    2022-08-20
    2022-08-20
  76. TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization
    François Mazé, Faez Ahmed
    arXiv 2022. Paper  
    2022-08-20
    2022-08-20
  77. 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
    2022-08-19
  78. Deep Diffusion Models for Seismic Processing
    Ricard Durall, Ammar Ghanim, Mario Fernandez, Norman Ettrich, Janis Keuper
    arXiv 2022. Paper  
    2022-07-21
    2022-07-21
  79. Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
    Tianpei Gu1, Guangyi Chen1, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen L
    CVPR 2022. Paper   Github  
    2022-03-25
    2022-03-25
  80. Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
    Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
    arXiv 2021. Paper  
    2021-02-10
    2021-02-10
Counts - 80   Back to top