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Denoising Diffusion Probabilistic Models

Neural Information Processing Systems (NeurIPS), 2025

19 June 2020

Jonathan Ho

Ajay Jain

Pieter Abbeel

DiffM

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Papers citing "Denoising Diffusion Probabilistic Models"

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Title
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 323 546 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 196 208 0 31 May 2021
SNIPS: Solving Noisy Inverse Problems Stochastically Bahjat Kawar Gregory Vaksman Michael Elad 214 214 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 370 1,370 0 30 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 112 62 0 29 May 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 192 241 0 28 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Jane Polak Scowcroft Helen Meng DiffM 118 62 0 28 May 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 154 59 0 17 May 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation Shoule Wu Ziqiang Shi DiffM 194 11 0 17 May 2021
High-Resolution Complex Scene Synthesis with Transformers Manuel Jahn Robin Rombach Bjorn Ommer ViT 123 37 0 13 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 226 604 0 13 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 905 9,136 0 11 May 2021
Contrastive Learning for Unsupervised Image-to-Image Translation Hanbit Lee Jinseok Seol Sang-goo Lee VLM SSL 157 21 0 07 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 316 293 0 06 May 2021
Synthetic Data for Model Selection Alon Shoshan Nadav Bhonker Igor Kviatkovsky Matan Fintz Gérard Medioni 110 6 0 03 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 221 713 0 30 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 437 585 0 20 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 130 27 0 20 Apr 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? Vikash Sehwag Saeed Mahloujifar Tinashe Handina Sihui Dai Chong Xiang M. Chiang Prateek Mittal OOD 170 136 0 19 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 116 178 0 12 Apr 2021
On tuning consistent annealed sampling for denoising score matching Joan Serrà Santiago Pascual Jordi Pons DiffM 103 6 0 08 Apr 2021
3D Shape Generation and Completion through Point-Voxel DiffusionIEEE International Conference on Computer Vision (ICCV), 2023 Linqi Zhou Yilun Du Jiajun Wu DiffM 225 579 0 08 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 299 50 0 06 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 200 112 0 06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 150 80 0 06 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 125 208 0 03 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 198 204 0 30 Mar 2021
LatentKeypointGAN: Controlling GANs via Latent Keypoints Xingzhe He Bastian Wandt Helge Rhodin GAN 239 7 0 29 Mar 2021
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution Yuanfei Huang Jie Li Yanting Hu Xinbo Gao Huan Huang 103 7 0 29 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 111 23 0 28 Mar 2021
Generating Novel Scene Compositions from Single Images and Videos V. Sushko Dan Zhang Juergen Gall Anna Khoreva GAN 148 16 0 24 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 167 8 0 12 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 483 567 0 08 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 275 129 0 08 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 154 105 0 06 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 152 287 0 02 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 449 828 0 02 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 133 2 0 23 Feb 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu Yang Song Sahaj Garg Linyuan Gong Rui Shu Aditya Grover Stefano Ermon DiffM 115 12 0 23 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 424 4,217 0 18 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 179 223 0 17 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsNeural Information Processing Systems (NeurIPS), 2025 Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 422 500 0 10 Feb 2021
Neural SDEs as Infinite-Dimensional GANs Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 133 175 0 06 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 272 369 0 28 Jan 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution Bahjat Kawar Gregory Vaksman Michael Elad DiffM 153 69 0 23 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2025 Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 437 737 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 184 286 0 09 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 316 314 0 07 Jan 2021
RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces Daniel O'Connor W. Vinci 91 1 0 24 Dec 2020
A Survey on Visual Transformer Kai Han Yunhe Wang Hanting Chen Xinghao Chen Jianyuan Guo ... Chunjing Xu Yixing Xu Zhaohui Yang Yiman Zhang Dacheng Tao ViT 596 2,602 0 23 Dec 2020