Adversarial score matching and improved sampling for image generation

11 September 2020

Alexia Jolicoeur-Martineau

Remi Piche-Taillefer

Rémi Tachet des Combes

Ioannis Mitliagkas

DiffM

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Papers citing "Adversarial score matching and improved sampling for image generation"

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Fast Samplers for Inverse Problems in Iterative Refinement Models Kushagra Pandey Ruihan Yang Stephan Mandt DiffM 52 3 0 27 May 2024
Score-based Generative Models with Adaptive Momentum Ziqing Wen Xiaoge Deng Ping Luo Tao Sun Dongsheng Li DiffM 39 0 0 22 May 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 33 2 0 04 Mar 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Tengjiao Wang 25 10 0 27 Feb 2024
Towards Fast Stochastic Sampling in Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 25 0 0 11 Feb 2024
Bring Metric Functions into Diffusion Models Jie An Zhengyuan Yang Jianfeng Wang Linjie Li Zicheng Liu Lijuan Wang Jiebo Luo DiffM 45 3 0 04 Jan 2024
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Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 138 329 0 28 Nov 2023
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State of the Art on Diffusion Models for Visual Computing Ryan Po Wang Yifan Vladislav Golyanik Kfir Aberman Jonathan T. Barron ... Matthias Nießner Bjorn Ommer Christian Theobalt Peter Wonka Gordon Wetzstein 33 102 0 11 Oct 2023
Diffusion Random Feature Model Esha Saha Giang Tran DiffM 45 0 0 06 Oct 2023
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 28 8 0 20 Sep 2023
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields Vahidullah Tac Manuel K Rausch Ilias Bilionis F. Sahli Costabal A. B. Tepole DiffM AI4CE 25 3 0 11 Sep 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 18 23 0 18 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan X. Wang Wenjun Zeng Xinchao Wang Zhibo Chen 43 86 0 18 Aug 2023
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Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu Min Gong Shaoan Xie Wei Wei Matthias Grundmann Kayhan Batmanghelich Tingbo Hou DiffM 20 12 0 21 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 34 57 0 15 Jun 2023
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition Si Zuo Vitor Fortes Rey Sungho Suh S. Sigg P. Lukowicz DiffM 27 4 0 30 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 18 21 0 25 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 26 3 0 19 May 2023
Class-Balancing Diffusion Models Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya Zhang DiffM 30 42 0 30 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion Gwanghyun Kim Jinhyun Jang S. Chun DiffM 28 13 0 04 Apr 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao Jianwen Xie Ping Li GAN 38 3 0 21 Mar 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 223 320 0 08 Mar 2023
A Complete Recipe for Diffusion Generative Models Kushagra Pandey Stephan Mandt DiffM 43 8 0 03 Mar 2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing Nisha Huang Fan Tang Weiming Dong Tong-Yee Lee Changsheng Xu DiffM 32 23 0 23 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 33 22 0 31 Jan 2023
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model Gwanghyun Kim S. Chun DiffM 30 39 0 29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 44 85 0 28 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene Animesh Karnewar Oliver Wang Tobias Ritschel Niloy Mitra 30 12 0 27 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip Torr 28 8 0 27 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video Yaniv Nikankin Niv Haim Michal Irani VGen 29 69 0 21 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Diffusion-based Generative Speech Source Separation Robin Scheibler Youna Ji Soo-Whan Chung J. Byun Soyeon Choe Min-Seok Choi DiffM 29 39 0 31 Oct 2022
Full-band General Audio Synthesis with Score-based Diffusion Santiago Pascual Gautam Bhattacharya Chunghsin Yeh Jordi Pons Joan Serrà DiffM 27 33 0 26 Oct 2022
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models Vikram S. Voleti Christopher Pal Adam M. Oberman DiffM 51 18 0 21 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 32 8 0 20 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion Nisha Huang Fan Tang Weiming Dong Changsheng Xu DiffM 93 40 0 27 Sep 2022