Fast Sampling of Diffusion Models with Exponential Integrator

29 April 2022

Qinsheng Zhang

Papers citing "Fast Sampling of Diffusion Models with Exponential Integrator"

50 / 70 papers shown

Title
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions Yiding Chen Yiyi Zhang Owen Oertell Wen Sun DiffM 45 0 0 06 May 2025
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 68 0 0 30 Apr 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 57 0 0 28 Apr 2025
Gaussian Mixture Flow Matching Models Hansheng Chen Kai Zhang Hao Tan Zexiang Xu Fujun Luan Leonidas J. Guibas Gordon Wetzstein Sai Bi DiffM 61 0 0 07 Apr 2025
BioMoDiffuse: Physics-Guided Biomechanical Diffusion for Controllable and Authentic Human Motion Synthesis Zixi Kang Xinghan Wang Yadong Mu VGen 60 0 0 08 Mar 2025
SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models Z. Yang Linye Lyu Xuanhang Chang Daojing He Yu Li 31 0 0 14 Feb 2025
A Reversible Solver for Diffusion SDEs Zander Blasingame Chen Liu DiffM 54 0 0 12 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Ao Li Wei Fang Hongbo Zhao Le Lu Ge Yang Minfeng Xu DiffM 81 0 0 11 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 55 0 0 03 Feb 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 56 3 0 10 Jan 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 67 1 0 16 Dec 2024
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models Andreas Müller Denis Lukovnikov Jonas Thietke Asja Fischer Erwin Quiring AAML WIGM 108 4 0 04 Dec 2024
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer Shitong Shao Zikai Zhou Tian Ye Lichen Bai Zhiqiang Xu Zeke Xie DiffM 44 0 0 16 Nov 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models Luping Liu Chao Du Tianyu Pang Zehan Wang Chongxuan Li Dong Xu VLM 51 5 0 15 Oct 2024
VideoAgent: Self-Improving Video Generation Achint Soni Sreyas Venkataraman Abhranil Chandra Sebastian Fischmeister Percy Liang Bo Dai Sherry Yang LM&Ro VGen 48 7 0 14 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 56 0 0 11 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 42 1 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 47 3 0 03 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Anthony Y. Zhou Zijie Li Michael Schneier John R Buchanan Jr Amir Barati Farimani AI4CE DiffM 52 5 0 02 Oct 2024
Bayesian computation with generative diffusion models by Multilevel Monte Carlo Abdul-Lateef Haji-Ali Marcelo Pereyra Luke Shaw K. Zygalakis DiffM 42 0 0 23 Sep 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 18 0 0 31 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 0 28 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 21 0 0 04 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 2 0 30 Jun 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou Shen Nie Kaiwen Xue Fengqi Zhu Jiacheng Sun Zhenguo Li Chongxuan Li DiffM 36 27 0 06 Jun 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 47 0 0 03 Jun 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 34 19 0 30 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 27 0 0 27 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 23 23 0 24 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander Blasingame Chen Liu DiffM 30 2 0 23 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan Xingchao Liu Jiachun Pan Jun Hao Liew Qiang Liu Jiashi Feng 27 40 0 13 May 2024
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou Daquan Zhou Ming-Ming Cheng Jiashi Feng Qibin Hou DiffM VGen 30 86 0 02 May 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems Hossein Askari Fred Roosta Hongfu Sun MedIm DiffM 25 3 0 04 Apr 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 10 0 21 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 19 2 0 08 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 41 6 0 03 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 30 26 0 29 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Towards Fast Stochastic Sampling in Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 20 0 0 11 Feb 2024
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 11 20 0 30 Nov 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 24 5 0 30 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 11 1 0 08 Nov 2023
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models Shiwei Zhang Jiayu Wang Yingya Zhang Kang Zhao Hangjie Yuan Z. Qin Xiang Wang Deli Zhao Jingren Zhou DiffM VGen 21 196 0 07 Nov 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 90 9 0 19 Oct 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 17 5 0 12 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 18 2 0 03 Sep 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 25 2 0 20 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 18 59 0 17 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 24 23 0 10 Jul 2023