1. DiffusionSTR: Diffusion Model for Scene Text Recognition
    Masato Fujitake
    arXiv 2023. Paper  
    2023-06-29
    2023-06-29
  2. 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
    2023-06-29
  3. ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
    Weihao Cheng, Yan-Pei Cao, Ying Shan
    arXiv 2023. Paper  
    2023-06-29
    2023-06-29
  4. PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
    Jianyuan Wang, Christian Rupprecht, David Novotny
    arXiv 2023. Paper  
    2023-06-27
    2023-06-27
  5. Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
    Marija Ivanovska, Vitomir Štruc
    arXiv 2023. Paper  
    2023-06-27
    2023-06-27
  6. Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
    Majed El Helou
    arXiv 2023. Paper  
    2023-06-26
    2023-06-26
  7. DiffWA: Diffusion Models for Watermark Attack
    Xinyu Li
    arXiv 2023. Paper  
    2023-06-22
    2023-06-22
  8. 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
    2023-06-22
  9. 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
    2023-06-20
  10. Diffusion model based data generation for partial differential equations
    Rucha Apte, Sheel Nidhan, Rishikesh Ranade, Jay Pathak
    arXiv 2023. Paper  
    2023-06-19
    2023-06-19
  11. GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
    Jiyao Zhang, Mingdong Wu, Hao Dong
    arXiv 2023. Paper  
    2023-06-18
    2023-06-18
  12. Drag-guided diffusion models for vehicle image generation
    Nikos Arechiga, Frank Permenter, Binyang Song, Chenyang Yuan
    arXiv 2023. Paper  
    2023-06-16
    2023-06-16
  13. 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
    2023-06-15
  14. 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
    2023-06-14
  15. VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
    Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
    arXiv 2023. Paper  
    2023-06-12
    2023-06-12
  16. Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
    Yida Chen, Fernanda Viégas, Martin Wattenberg
    arXiv 2023. Paper  
    2023-06-09
    2023-06-09
  17. 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
    2023-06-09
  18. 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
    2023-06-09
  19. PriSampler: Mitigating Property Inference of Diffusion Models
    Hailong Hu, Jun Pang
    arXiv 2023. Paper  
    2023-06-08
    2023-06-08
  20. 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
    2023-06-07
  21. Phoenix: A Federated Generative Diffusion Model
    Fiona Victoria Stanley Jothiraj, Afra Mashhadi
    arXiv 2023. Paper  
    2023-06-07
    2023-06-07
  22. Phoenix: A Federated Generative Diffusion Model
    Fiona Victoria Stanley Jothiraj, Afra Mashhadi
    arXiv 2023. Paper  
    2023-06-07
    2023-06-07
  23. Emergent Correspondence from Image Diffusion
    Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
    arXiv 2023. Paper   Project  
    2023-06-06
    2023-06-06
  24. 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
    2023-06-06
  25. 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
    2023-06-06
  26. 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
    2023-06-06
  27. Emergent Correspondence from Image Diffusion
    Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
    arXiv 2023. Paper  
    2023-06-06
    2023-06-06
  28. High-dimensional and Permutation Invariant Anomaly Detection
    Vinicius Mikuni, Benjamin Nachman
    arXiv 2023. Paper  
    2023-06-06
    2023-06-06
  29. Enhance Diffusion to Improve Robust Generalization
    Jianhui Sun, Sanchit Sinha, Aidong Zhang
    arXiv 2023. Paper  
    2023-06-05
    2023-06-05
  30. Deep Classifier Mimicry without Data Access
    Steven Braun, Martin Mundt, Kristian Kersting
    arXiv 2023. Paper  
    2023-06-03
    2023-06-03
  31. Training Data Attribution for Diffusion Models
    Zheng Dai, David K Gifford
    arXiv 2023. Paper  
    2023-06-03
    2023-06-03
  32. 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
    2023-06-02
  33. PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
    Jiacheng Chen, Ruizhi Deng, Yasutaka Furukawa
    arXiv 2023. Paper  
    2023-06-02
    2023-06-02
  34. 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
    2023-06-02
  35. Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting
    Mischa Dombrowski, Bernhard Kainz
    arXiv 2023. Paper  
    2023-06-02
    2023-06-02
  36. 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
    2023-06-01
  37. 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
    2023-05-31
  38. 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
    2023-05-31
  39. 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
    2023-05-31
  40. 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
    2023-05-31
  41. 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
    2023-05-30
  42. Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling
    Qisheng Liao, Gus Xia, Zhinuo Wang
    arXiv 2023. Paper  
    2023-05-30
    2023-05-30
  43. 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
    2023-05-30
  44. CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
    Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji
    arXiv 2023. Paper  
    2023-05-29
    2023-05-29
  45. 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
    2023-05-29
  46. Generative Diffusion for 3D Turbulent Flows
    Marten Lienen, Jan Hansen-Palmus, David Lüdke, Stephan Günnemann
    arXiv 2023. Paper  
    2023-05-29
    2023-05-29
  47. Generating Driving Scenes with Diffusion
    Ethan Pronovost, Kai Wang, Nick Roy
    arXiv 2023. Paper  
    2023-05-29
    2023-05-29
  48. Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
    Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
    arXiv 2023. Paper  
    2023-05-29
    2023-05-29
  49. On Diffusion Modeling for Anomaly Detection
    Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh
    arXiv 2023. Paper  
    2023-05-29
    2023-05-29
  50. 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
    2023-05-26
  51. 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
    2023-05-26
  52. 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
    2023-05-26
  53. 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
    2023-05-25
  54. 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
    2023-05-25
  55. 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
    2023-05-25
  56. Anomaly Detection with Conditioned Denoising Diffusion Models
    Arian Mousakhan, Thomas Brox, Jawad Tayyub
    arXiv 2023. Paper  
    2023-05-25
    2023-05-25
  57. 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
    2023-05-25
  58. 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
    2023-05-24
  59. 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
    2023-05-24
  60. DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
    Jiang Liu, Chun Pong Lau, Rama Chellappa
    arXiv 2023. Paper  
    2023-05-23
    2023-05-23
  61. 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
    2023-05-23
  62. Realistic Noise Synthesis with Diffusion Models
    Qi Wu, Mingyan Han, Ting Jiang, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
    arXiv 2023. Paper  
    2023-05-23
    2023-05-23
  63. GSURE-Based Diffusion Model Training with Corrupted Data
    Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad
    arXiv 2023. Paper   Github  
    2023-05-22
    2023-05-22
  64. 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
    2023-05-21
  65. Watermarking Diffusion Model
    Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
    arXiv 2023. Paper  
    2023-05-21
    2023-05-21
  66. Incomplete Multi-view Clustering via Diffusion Completion
    Sifan Fang
    arXiv 2023. Paper  
    2023-05-19
    2023-05-19
  67. 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
    2023-05-18
  68. SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
    Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
    arXiv 2023. Paper  
    2023-05-18
    2023-05-18
  69. 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
    2023-05-18
  70. A Method for Training-free Person Image Picture Generation
    Tianyu Chen
    ICOAI 2023. Paper  
    2023-05-16
    2023-05-16
  71. Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?
    Pareesa Ameneh Golnari, Zhewei Yao, Yuxiong He
    arXiv 2023. Paper  
    2023-05-16
    2023-05-16
  72. Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
    Andrew Farley, Mohsen Zand, Michael Greenspan
    CRV 2023. Paper  
    2023-05-16
    2023-05-16
  73. 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
    2023-05-16
  74. 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
    2023-05-16
  75. 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
    2023-05-15
  76. A Reproducible Extraction of Training Images from Diffusion Models
    Ryan Webster
    arXiv 2023. Paper   Github  
    2023-05-15
    2023-05-15
  77. 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
    2023-05-14
  78. 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
    2023-05-11
  79. DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
    Žiga Babnik, Peter Peer, Vitomir Štruc
    arXiv 2023. Paper  
    2023-05-09
    2023-05-09
  80. 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
    2023-05-09
  81. 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
    2023-05-07
  82. 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
    2023-05-06
  83. 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
    2023-05-06
  84. 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
    2023-05-05
  85. LayoutDM: Transformer-based Diffusion Model for Layout Generation
    Shang Chai, Liansheng Zhuang, Fengying Yan
    CVPR 2023. Paper  
    2023-05-04
    2023-05-04
  86. Long-Term Rhythmic Video Soundtracker
    Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao
    ICML 2023. Paper   Github  
    2023-05-02
    2023-05-02
  87. 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
    2023-04-27
  88. Single-View Height Estimation with Conditional Diffusion Probabilistic Models
    Isaac Corley, Peyman Najafirad
    arXiv 2023. Paper  
    2023-04-26
    2023-04-26
  89. 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
    2023-04-25
  90. Improving Synthetically Generated Image Detection in Cross-Concept Settings
    Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos
    arXiv 2023. Paper  
    2023-04-24
    2023-04-24
  91. 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
    2023-04-22
  92. 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
    2023-04-21
  93. 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
    2023-04-20
  94. Exploring Diffusion Models for Unsupervised Video Anomaly Detection
    Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
    arXiv 2023. Paper  
    2023-04-12
    2023-04-12
  95. Diffusion models with location-scale noise
    Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
    arXiv 2023. Paper  
    2023-04-12
    2023-04-12
  96. 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
    2023-04-11
  97. 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
    2023-04-10
  98. 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
    2023-04-09
  99. 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
    2023-04-07
  100. RoSteALS: Robust Steganography using Autoencoder Latent Space
    Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse
    CVPR Workshop 2023. Paper   Github  
    2023-04-06
    2023-04-06
  101. JPEG Compressed Images Can Bypass Protections Against AI Editing
    Pedro Sandoval-Segura, Jonas Geiping, Tom Goldstein
    arXiv 2023. Paper  
    2023-04-05
    2023-04-05
  102. Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models
    Carolina Higuera, Byron Boots, Mustafa Mukadam
    arXiv 2023. Paper  
    2023-04-03
    2023-04-03
  103. 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
    2023-04-02
  104. Textile Pattern Generation Using Diffusion Models
    Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gozde Unal
    ITFC 2023. Paper  
    2023-04-02
    2023-04-02
  105. NeuroDAVIS: A neural network model for data visualization
    Chayan Maitra, Dibyendu B. Seal, Rajat K. De
    arXiv 2023. Paper  
    2023-04-01
    2023-04-01
  106. 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
    2023-03-31
  107. Diffusion Action Segmentation
    Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
    arXiv 2023. Paper  
    2023-03-31
    2023-03-31
  108. 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
    2023-03-30
  109. 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
    2023-03-29
  110. Visual Chain-of-Thought Diffusion Models
    William Harvey, Frank Wood
    arXiv 2023. Paper  
    2023-03-28
    2023-03-28
  111. 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
    2023-03-27
  112. 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
    2023-03-27
  113. 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
    2023-03-27
  114. Freestyle Layout-to-Image Synthesis
    Han Xue, Zhiwu Huang, Qianru Sun, Li Song, Wenjun Zhang
    CVPR 2023. Paper  
    2023-03-25
    2023-03-25
  115. 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
    2023-03-23
  116. End-to-End Diffusion Latent Optimization Improves Classifier Guidance
    Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
    arXiv 2023. Paper  
    2023-03-23
    2023-03-23
  117. 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
    2023-03-23
  118. 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
    2023-03-22
  119. 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
    2023-03-21
  120. 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
    2023-03-20
  121. 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
    2023-03-20
  122. Pluralistic Aging Diffusion Autoencoder
    Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He
    arXiv 2023. Paper  
    2023-03-20
    2023-03-20
  123. Leapfrog Diffusion Model for Stochastic Trajectory Prediction
    Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang
    CVPR 2023. Paper   Github  
    2023-03-20
    2023-03-20
  124. Diffusion-based Document Layout Generation
    Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang
    arXiv 2023. Paper  
    2023-03-19
    2023-03-19
  125. 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
    2023-03-17
  126. On the De-duplication of LAION-2B
    Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
    arXiv 2023. Paper  
    2023-03-17
    2023-03-17
  127. 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
    2023-03-16
  128. 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
    2023-03-16
  129. DiffusionAD: Denoising Diffusion for Anomaly Detection
    Hui Zhang, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang
    arXiv 2023. Paper  
    2023-03-15
    2023-03-15
  130. 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
    2023-03-14
  131. 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
    2023-03-13
  132. 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
    2023-03-13
  133. 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
    2023-03-09
  134. Detecting Images Generated by Diffusers
    Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
    arXiv 2023. Paper  
    2023-03-09
    2023-03-09
  135. 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
    2023-03-07
  136. 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
    2023-03-07
  137. 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
    2023-03-03
  138. Monocular Depth Estimation using Diffusion Models
    Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
    arXiv 2023. Paper   Github  
    2023-02-28
    2023-02-28
  139. 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
    2023-02-26
  140. Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition
    Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori
    Eurographics 2023. Paper  
    2023-02-26
    2023-02-26
  141. 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
  142. 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
  143. Effective Data Augmentation With Diffusion Models
    Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
    arXiv 2023. Paper   Project  
    2023-02-07
    2023-02-07
  144. Learning End-to-End Channel Coding with Diffusion Models
    Muah Kim, Rick Fritschek, Rafael F. Schaefer
    WSA/SCC 2023. Paper  
    2023-02-03
    2023-02-03
  145. 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
    2023-02-02
  146. 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
  147. 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
  148. 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
  149. A Denoising Diffusion Model for Fluid Field Prediction
    Gefan Yang, Stefan Sommer
    arXiv 2023. Paper  
    2023-01-27
    2023-01-27
  150. 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
    2023-01-23
  151. 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
  152. 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
    2023-01-13
  153. Diffusion Models For Stronger Face Morphing Attacks
    Zander Blasingame, Chen Liu
    arXiv 2023. Paper  
    2023-01-10
    2023-01-10
  154. Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
    Lorin Sweeney, Graham Healy, Alan F. Smeaton
    MediaEval Workshop 2022. Paper  
    2022-12-19
    2022-12-19
  155. AI Art in Architecture
    Joern Ploennigs, Markus Berger
    arXiv 2022. Paper  
    2022-12-19
    2022-12-19
  156. 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
  157. How to Backdoor Diffusion Models?
    Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
    CVPR 2023. Paper  
    2022-12-11
    2022-12-11
  158. 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
    2022-12-07
  159. 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
  160. Post-training Quantization on Diffusion Models
    Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
    arXiv 2022. Paper   Github  
    2022-11-28
    2022-11-28
  161. Diffusion Probabilistic Model Made Slim
    Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
    CVPR 2023. Paper  
    2022-11-27
    2022-11-27
  162. BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
    German Barquero, Sergio Escalera, Cristina Palmero
    arXiv 2022. Paper   Project   Github  
    2022-11-25
    2022-11-25
  163. 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
  164. 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
  165. Can denoising diffusion probabilistic models generate realistic astrophysical fields?
    Nayantara Mudur, Douglas P. Finkbeiner
    NeurIPS Workshop 2022. Paper  
    2022-11-22
    2022-11-22
  166. 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
  167. 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
  168. 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
  169. Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
    Andreas Stöckl
    arXiv 2022. Paper  
    2022-11-03
    2022-11-03
  170. DOLPH: Diffusion Models for Phase Retrieval
    Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov
    arXiv 2022. Paper  
    2022-11-01
    2022-11-01
  171. 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
    2022-11-01
  172. Towards the Detection of Diffusion Model Deepfakes
    Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
    arXiv 2022. Paper  
    2022-10-26
    2022-10-26
  173. 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
  174. 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
  175. Markup-to-Image Diffusion Models with Scheduled Sampling
    Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
    ICLR 2023. Paper  
    2022-10-11
    2022-10-11
  176. CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
    Shitong Xu
    arXiv 2022. Paper   Github  
    2022-10-10
    2022-10-10
  177. 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
  178. Diffusion Models Beat GANs on Topology Optimization
    François Mazé, Faez Ahmed
    AAAI 2022. Paper   Project   Github  
    2022-08-20
    2022-08-20
  179. 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
  180. 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
  181. 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
    2022-03-25
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