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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
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 420 713 0 06 Oct 2021
EdiTTS: Score-based Editing for Controllable Text-to-Speech Jaesung Tae Hyeongju Kim Taesu Kim DiffM 321 43 0 06 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 247 173 0 05 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 131 69 0 01 Oct 2021
Generative Probabilistic Image Colorization Chie Furusawa S. Kitaoka Michael Li Yuri Odagiri DiffM 270 4 0 29 Sep 2021
A Systematic Survey of Deep Learning-based Single-Image Super-Resolution Juncheng Li Zehua Pei Wenjie Li Guangwei Gao Longguang Wang Yingqian Wang T. Zeng 195 49 0 29 Sep 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov Jiansheng Wei DiffM BDL 212 154 0 28 Sep 2021
JEM++: Improved Techniques for Training JEM Xiulong Yang Shihao Ji AAML VLM 142 32 0 19 Sep 2021
Music Composition with Deep Learning: A Review Carlos Hernandez-Olivan J. R. Beltrán CoGe VLM 149 74 0 27 Aug 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Jane Polak Scowcroft Dong Yu DiffM 136 44 0 26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 147 167 0 19 Aug 2021
Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions H. Barua Theint Haythi Mg Pradip Pramanick Chayan Sarkar 104 4 0 13 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 116 10 0 08 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 330 775 0 06 Aug 2021
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 124 17 0 03 Aug 2021
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 DiffM 338 1,723 0 02 Aug 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 139 3 0 28 Jul 2021
A Study on Speech Enhancement Based on Diffusion Probabilistic Model Yen-Ju Lu Yu Tsao Shinji Watanabe DiffM 124 84 0 25 Jul 2021
Human Pose Transfer with Augmented Disentangled Feature Consistency Kun Wu Chengxiang Yin Zhengping Che Bo Jiang Jian Tang Zheng Guan Gangyi Ding 163 2 0 23 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 171 53 0 20 Jul 2021
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 119 7 0 11 Jul 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 252 677 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 428 1,175 0 07 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 457 1,256 0 01 Jul 2021
On the Generative Utility of Cyclic Conditionals Yu Xie Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 141 3 0 30 Jun 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 115 25 0 29 Jun 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 199 393 0 29 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 132 1 0 23 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Jianguo Huang Lue Tao Renchunzi Xie Bo An NoLa 189 94 0 21 Jun 2021
ReGO: Reference-Guided Outpainting for Scenery Image Yaxiong Wang Yunchao Wei Xueming Qian Li Zhu Yi Yang 168 9 0 20 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 125 42 0 18 Jun 2021
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi Najim Dehak William Chan DiffM 147 93 0 17 Jun 2021
Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter F. Blanke R. Heese Jochen Garcke CVBM 151 45 0 17 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis Shichong Peng Alireza Moazeni Ke Li GAN 92 0 0 16 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 164 5 0 15 Jun 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 123 54 0 14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis Simon Rouard Gaëtan Hadjeres DiffM 97 45 0 14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 169 130 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Yu Xie Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 147 97 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 257 746 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 257 107 0 10 Jun 2021
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 99 11 0 09 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 117 35 0 09 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 182 62 0 08 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 224 147 0 07 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 214 71 0 06 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 204 216 0 05 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 88 3 0 01 Jun 2021
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