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Diffusion Models Beat GANs on Image Synthesis

11 May 2021

Papers citing "Diffusion Models Beat GANs on Image Synthesis"

33 / 5,133 papers shown

Title
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 113 60 0 18 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 58 10 0 08 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 219 727 0 06 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 178 1,510 0 02 Aug 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 104 45 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 67 7 0 11 Jul 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 77 23 0 29 Jun 2021
Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter F. Blanke R. Heese Jochen Garcke CVBM 86 43 0 17 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 99 73 0 15 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 132 121 0 12 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 80 688 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 110 97 0 10 Jun 2021
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li Mihai Nica Daniel M. Roy 113 34 0 07 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 110 139 0 07 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 123 195 0 05 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 56 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 185 477 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 92 200 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 182 1,243 0 30 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 87 58 0 29 May 2021
Contrastive Learning for Unsupervised Image-to-Image Translation Hanbit Lee Jinseok Seol Sang-goo Lee VLM SSL 141 19 0 07 May 2021
Synthetic Data for Model Selection Alon Shoshan Nadav Bhonker Igor Kviatkovsky Matan Fintz Gérard Medioni 49 5 0 03 May 2021
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection Xuefeng Li Alan Blair 53 0 0 23 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 129 43 0 06 Apr 2021
LatentKeypointGAN: Controlling GANs via Latent Keypoints Xingzhe He Bastian Wandt Helge Rhodin GAN 126 6 0 29 Mar 2021
Generating Novel Scene Compositions from Single Images and Videos V. Sushko Dan Zhang Juergen Gall Anna Khoreva GAN 103 15 0 24 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 222 676 0 22 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 137 3,015 0 17 Dec 2020
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte J. Hetzel S. Gatidis Tobias Hepp Benedikt Dietz Stefan Bauer Patrick Schwab MedIm 96 70 0 29 Nov 2020
Manipulating Medical Image Translation with Manifold Disentanglement Siyu Liu Jason Dowling C. Engstrom P. Greer Stuart Crozier Shekhar S. Chandra MedIm 70 8 0 27 Nov 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie Yang AAML 80 8 0 23 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 89 12 0 27 Sep 2020
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 76 53 0 19 Aug 2020