v1v2 (latest)

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
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 121 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 147 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 119 54 0 14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis Simon Rouard Gaëtan Hadjeres DiffM 89 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 257 742 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 245 106 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 10 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 84 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 323 539 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 188 207 0 31 May 2021
SNIPS: Solving Noisy Inverse Problems Stochastically Bahjat Kawar Gregory Vaksman Michael Elad 214 212 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 366 1,360 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 188 241 0 28 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Jane Polak Scowcroft Helen Meng DiffM 114 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 218 601 0 13 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 901 9,094 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 316 292 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 213 709 0 30 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 437 579 0 20 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 126 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 170 135 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 221 578 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 79 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 198 203 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