EGC: Image Generation and Classification via a Diffusion Energy-Based Model

4 April 2023

Ping Luo

Papers citing "EGC: Image Generation and Classification via a Diffusion Energy-Based Model"

32 / 32 papers shown

Title
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 228 0 0 26 May 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Lea Bogensperger Sebastian Kaltenbach Petros Koumoutsakos Bjoern Menze DiffM 102 3 0 14 Apr 2025
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths Zeyue Xue Guanglu Song Qiushan Guo Boxiao Liu Zhuofan Zong Yu Liu Ping Luo DiffM 96 133 0 29 May 2023
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu 299 12 0 29 Oct 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 74 15 0 19 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 145 3,858 0 26 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 82 192 0 14 Jul 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 56 7 0 24 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 217 30,089 0 01 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 328 1,396 0 24 Jan 2022
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 72 143 0 07 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 276 3,648 0 18 Feb 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 54 128 0 15 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 77 9 0 11 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 247 1,349 0 08 Oct 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 67 908 0 08 Jul 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 189 1,145 0 16 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 127 1,880 0 11 Jun 2020
Feature Quantization Improves GAN Training Yang Zhao Chunyuan Li Ping Yu Jianfeng Gao Changyou Chen MQ 51 47 0 05 Apr 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 76 542 0 06 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 260 5,797 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 257 3,124 0 09 Jul 2018
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling Ruiqi Gao Yang Lu Junpei Zhou Song-Chun Zhu Ying Nian Wu 72 79 0 26 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 261 12,029 0 19 Jun 2017
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 53 353 0 11 Nov 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 133 1,114 0 11 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 452 9,027 0 10 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 301 7,971 0 23 May 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 249 6,887 0 12 Mar 2015
MCMC using Hamiltonian dynamics Radford M. Neal 288 3,276 0 09 Jun 2012