v1v2v3 (latest)

Structured Denoising Diffusion Models in Discrete State-Spaces

7 July 2021

Papers citing "Structured Denoising Diffusion Models in Discrete State-Spaces"

48 / 648 papers shown

Title
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 114 26 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 482 1,420 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 86 85 0 31 Aug 2022
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model Pan Xie Qipeng Zhang Zexian Li Hao Tang Yao Du Xiaohui Hu DiffM 95 16 0 19 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 119 313 0 08 Aug 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation Dongchao Yang Jianwei Yu Helin Wang Wen Wang Chao Weng Yuexian Zou Dong Yu DiffM 104 306 0 20 Jul 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 366 178 0 30 Jun 2022
Megapixel Image Generation with Step-Unrolled Denoising Autoencoders Alex F. McKinney Chris G. Willcocks DiffM 40 0 0 24 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation Ye Zhu Yuehua Wu Kyle Olszewski Jian Ren Sergey Tulyakov Yan Yan DiffM 107 49 0 15 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 108 115 0 15 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 99 82 0 13 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 109 117 0 11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 71 47 0 10 Jun 2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han 74 29 0 09 Jun 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 207 530 0 03 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 76 26 0 01 Jun 2022
Improved Vector Quantized Diffusion Models Zhicong Tang Shuyang Gu Jianmin Bao Dong Chen Fang Wen DiffM 246 63 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 231 51 0 30 May 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 290 168 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 248 837 0 27 May 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 98 28 0 26 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 255 175 0 26 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 326 705 0 20 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 109 439 0 29 Apr 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond Yisheng Xiao Lijun Wu Junliang Guo Juntao Li Hao Fei Tao Qin Tie-Yan Liu 3DV MedIm AI4CE 96 89 0 20 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval Shelly Sheynin Oron Ashual Adam Polyak Uriel Singer Oran Gafni Eliya Nachmani Yaniv Taigman VLM SyDa DiffM 82 124 0 06 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 135 627 0 31 Mar 2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources Ethan Manilow Curtis Hawthorne Cheng-Zhi Anna Huang Bryan Pardo Jesse Engel BDL 64 10 0 28 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 139 657 0 20 Feb 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 92 46 0 19 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective Nianzu Yang Huaijin Wu Xiaoyong Pan Ye Yuan Junchi Yan 86 18 0 18 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 80 15 0 10 Feb 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 68 3 0 26 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 106 561 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 110 237 0 14 Dec 2021
Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov Junyoung Chung Mikolaj Binkowski Erich Elsen Aaron van den Oord DiffM 134 120 0 13 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 63 43 0 03 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models Tomer Amit Tal Shaharbany Eliya Nachmani Lior Wolf DiffM 121 307 0 01 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 125 434 0 30 Nov 2021
EdiBERT, a generative model for image editing Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard DiffM 100 12 0 30 Nov 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis Shuyang Gu Dong Chen Jianmin Bao Fang Wen Bo Zhang Dongdong Chen Lu Yuan B. Guo DiffM 185 800 0 29 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 120 72 0 24 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 490 1,666 0 10 Nov 2021
Zero-Shot Translation using Diffusion Models Eliya Nachmani Shaked Dovrat DiffM VLM 77 9 0 02 Nov 2021
Denoising Diffusion Gamma Models Eliya Nachmani S. Robin Lior Wolf DiffM VLM 81 32 0 10 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 115 155 0 05 Oct 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 107 162 0 19 Aug 2021
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models Daniel D. Johnson Jacob Austin Rianne van den Berg Daniel Tarlow DiffM 235 19 0 16 Jul 2021