Denoising Diffusion Probabilistic Models

19 June 2020

Pieter Abbeel

Papers citing "Denoising Diffusion Probabilistic Models"

36 / 6,236 papers shown

Title
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 26 390 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
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 10 17 0 03 Aug 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
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 12 1,056 0 01 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 351 0 29 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 15 36 0 18 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 10 7,367 0 11 May 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 8 611 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 21 475 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
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 8 3,489 0 18 Feb 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 11 333 0 20 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 15 6,777 0 06 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 17 13 0 05 Oct 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 12 124 0 11 Sep 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016