Improved Denoising Diffusion Probabilistic Models

International Conference on Machine Learning (ICML), 2021

18 February 2021

Alex Nichol

Prafulla Dhariwal

DiffM

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Papers citing "Improved Denoising Diffusion Probabilistic Models"

48 / 2,798 papers shown

Title
Blended Diffusion for Text-driven Editing of Natural Images Omri Avrahami Dani Lischinski Ohad Fried DiffM 494 1,129 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 276 85 0 24 Nov 2021
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim Sungwon Kim Sungroh Yoon DiffM BDL 307 124 0 23 Nov 2021
Density Ratio Estimation via Infinitesimal ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Kristy Choi Chenlin Meng Yang Song Stefano Ermon 335 54 0 22 Nov 2021
Palette: Image-to-Image Diffusion ModelsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021 Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 1.1K 1,989 0 10 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable TrainingNeural Information Processing Systems (NeurIPS), 2021 Minguk Kang Woohyeon Shim Minsu Cho Jaesik Park GAN 290 134 0 01 Nov 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs TheoryInternational Conference on Learning Representations (ICLR), 2021 T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 630 222 0 21 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 183 104 0 14 Oct 2021
Crystal Diffusion Variational Autoencoder for Periodic Material GenerationInternational Conference on Learning Representations (ICLR), 2021 Jia Zhang Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 681 346 0 12 Oct 2021
Vector-quantized Image Modeling with Improved VQGANInternational Conference on Learning Representations (ICLR), 2021 Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 467 672 0 09 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 456 498 0 08 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 765 773 0 06 Oct 2021
EdiTTS: Score-based Editing for Controllable Text-to-Speech Jaesung Tae Hyeongju Kim Taesu Kim DiffM 391 47 0 06 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 500 195 0 05 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 247 74 0 01 Oct 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 269 177 0 28 Sep 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Jane Polak Scowcroft Dong Yu DiffM 188 44 0 26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 203 175 0 19 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsIEEE International Conference on Computer Vision (ICCV), 2021 Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 494 855 0 06 Aug 2021
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 426 17 0 03 Aug 2021
A Study on Speech Enhancement Based on Diffusion Probabilistic ModelAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021 Yen-Ju Lu Yu Tsao Shinji Watanabe DiffM 236 91 0 25 Jul 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationNeural Information Processing Systems (NeurIPS), 2021 Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 396 798 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 737 1,342 0 07 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 835 1,349 0 01 Jul 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 151 29 0 29 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound SynthesisInternational Society for Music Information Retrieval Conference (ISMIR), 2021 Simon Rouard Gaëtan Hadjeres DiffM 141 45 0 14 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive PriorInternational Conference on Learning Representations (ICLR), 2021 Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Yu Xie Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 257 109 0 11 Jun 2021
Score-based Generative Modeling in Latent SpaceNeural Information Processing Systems (NeurIPS), 2021 Arash Vahdat Karsten Kreis Jan Kautz DiffM 422 799 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score EstimationInternational Conference on Machine Learning (ICML), 2021 Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 549 109 0 10 Jun 2021
Generative Feature-driven Image Replay for Continual LearningImage and Vision Computing (IVC), 2021 Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 194 11 0 09 Jun 2021
Densely connected normalizing flowsNeural Information Processing Systems (NeurIPS), 2021 Matej Grcić Ivan Grubišić Sinisa Segvic TPM 294 64 0 08 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 312 151 0 07 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative ModelingNeural Information Processing Systems (NeurIPS), 2021 Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 527 596 0 01 Jun 2021
Cascaded Diffusion Models for High Fidelity Image GenerationJournal of machine learning research (JMLR), 2021 Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 638 1,487 0 30 May 2021
Diffusion-Based Representation LearningInternational Conference on Machine Learning (ICML), 2021 K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 200 68 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 292 252 0 28 May 2021
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 2.4K 10,200 0 11 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion MechanismAAAI Conference on Artificial Intelligence (AAAI), 2021 Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 468 323 0 06 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 353 761 0 30 Apr 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?International Conference on Learning Representations (ICLR), 2021 Vikash Sehwag Saeed Mahloujifar Tinashe Handina Sihui Dai Chong Xiang M. Chiang Prateek Mittal OOD 234 145 0 19 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 196 196 0 12 Apr 2021
Creativity and Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Giorgio Franceschelli Mirco Musolesi VLM AI4CE 493 55 0 06 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-SpeechInterspeech (Interspeech), 2021 Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 194 218 0 03 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 701 623 0 08 Mar 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsNeural Information Processing Systems (NeurIPS), 2021 Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 604 557 0 10 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2021 Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 753 792 0 22 Jan 2021
Taming Transformers for High-Resolution Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2020 Patrick Esser Robin Rombach Bjorn Ommer ViT 647 3,747 0 17 Dec 2020
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo Shogo Seki DiffM 262 25 0 06 Oct 2020