Denoising Diffusion Probabilistic Models

19 June 2020

Pieter Abbeel

Papers citing "Denoising Diffusion Probabilistic Models"

50 / 6,207 papers shown

Title
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 58 6,591 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 25 1,499 0 07 Apr 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models J. Wolleb Robin Sandkühler Florentin Bieder Philippe C. Cattin MedIm DiffM 11 32 0 06 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 14 66 0 31 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 19 86 0 28 Mar 2022
Large-scale Bilingual Language-Image Contrastive Learning ByungSoo Ko Geonmo Gu VLM 12 14 0 28 Mar 2022
Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints Yong Zhao Edirisuriya M Dilanga Siriwardane Zhenyao Wu Nihang Fu Mohammed Al-Fahdi Ming Hu Jianjun Hu AI4CE 28 67 0 27 Mar 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion Tianpei Gu Guangyi Chen Junlong Li Chunze Lin Yongming Rao Jie Zhou Jiwen Lu DiffM VGen 27 192 0 25 Mar 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 17 28 0 25 Mar 2022
CLIP-Mesh: Generating textured meshes from text using pretrained image-text models N. Khalid Tianhao Xie Eugene Belilovsky Tiberiu Popa CLIP 6 291 0 24 Mar 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors Oran Gafni Adam Polyak Oron Ashual Shelly Sheynin Devi Parikh Yaniv Taigman DiffM 17 507 0 24 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 16 32 0 17 Mar 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 13 255 0 16 Mar 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers Markus Kängsepp Kaspar Valk Meelis Kull 19 3 0 16 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 19 67 0 13 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 9 491 0 06 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction Yutong Xie Quanzheng Li DiffM MedIm 11 84 0 05 Mar 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 11 51 0 27 Feb 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 13 67 0 21 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 6 13 0 10 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs Songxiang Liu Dan Su Dong Yu DiffM 68 65 0 28 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 14 3 0 26 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 50 14,533 0 20 Dec 2021
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio' DiffM 15 13 0 17 Dec 2021
Forensic Analysis of Synthetically Generated Western Blot Images S. Mandelli D. Cozzolino E. D. Cannas J. P. Cardenuto Daniel Moreira ... Walter J. Scheirer Anderson de Rezende Rocha L. Verdoliva Stefano Tubaro Edward J. Delp 20 20 0 16 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 21 334 0 09 Dec 2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization Yufan Zhou Chunyuan Li Changyou Chen Jinhui Xu 17 0 0 07 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 9 40 0 03 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 4 407 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 14 749 0 29 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images Omri Avrahami Dani Lischinski Ohad Fried DiffM 9 911 0 29 Nov 2021
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 4 178 0 26 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 12 22 0 24 Nov 2021
Theoretical and Empirical Analysis of a Fast Algorithm for Extracting Polygons from Signed Distance Bounds Nenad Markus Mirko Sužnjević 14 0 0 10 Nov 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 22 15 0 01 Nov 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 8 87 0 14 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 20 390 0 08 Oct 2021
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 22 91 0 07 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 14 621 0 06 Oct 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 19 6 0 11 Jul 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 15 36 0 18 Jun 2021
Contrastive Learning for Unsupervised Image-to-Image Translation Hanbit Lee Jinseok Seol Sang-goo Lee VLM SSL 17 18 0 07 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 27 256 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 6 611 0 30 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 13 24 0 20 Apr 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 9 501 0 08 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 12 103 0 06 Apr 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 19 475 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 11 108 0 08 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 8 266 0 02 Mar 2021