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Accelerating Diffusion Sampling with Optimized Time Steps

Accelerating Diffusion Sampling with Optimized Time Steps

27 February 2024
Shuchen Xue
Zhaoqiang Liu
Fei Chen
Shifeng Zhang
Tianyang Hu
Enze Xie
Zhenguo Li
    DiffM
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Papers citing "Accelerating Diffusion Sampling with Optimized Time Steps"

17 / 17 papers shown
Title
Optimal Stepsize for Diffusion Sampling
Optimal Stepsize for Diffusion Sampling
Jianning Pei
Han Hu
Shuyang Gu
48
0
0
27 Mar 2025
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation
Yihong Luo
Tianyang Hu
Weijian Luo
Kenji Kawaguchi
Jing Tang
EGVM
118
0
0
17 Mar 2025
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
Yihong Luo
Tianyang Hu
Yifan Song
Jiacheng Sun
Z. Li
Jing Tang
DiffM
73
1
0
13 Mar 2025
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
Shangwen Zhu
Han Zhang
Zhantao Yang
Qianyu Peng
Zhao Pu
H. Wang
Fan Cheng
DiffM
48
0
0
12 Mar 2025
Straight-Line Diffusion Model for Efficient 3D Molecular Generation
Yuyan Ni
Shikun Feng
Haohan Chi
Bowen Zheng
Huan-ang Gao
Wei-Ying Ma
Zhi-Ming Ma
Yanyan Lan
DiffM
68
2
0
04 Mar 2025
Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
Yifei Xia
Suhan Ling
Fangcheng Fu
Y. Wang
Huixia Li
Xuefeng Xiao
Bin Cui
VGen
57
2
0
28 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang
Mingyang Yi
Shuchen Xue
Z. Li
Ming Liu
Bing Qin
Zhi-Ming Ma
DiffM
37
0
0
24 Feb 2025
S4S: Solving for a Diffusion Model Solver
Eric Frankel
Sitan Chen
J. Li
Pang Wei Koh
Lillian J. Ratliff
Sewoong Oh
DiffM
44
0
0
24 Feb 2025
Designing Scheduling for Diffusion Models via Spectral Analysis
Designing Scheduling for Diffusion Models via Spectral Analysis
Roi Benita
Michael Elad
Joseph Keshet
DiffM
58
0
0
31 Jan 2025
Generating Compositional Scenes via Text-to-image RGBA Instance Generation
Alessandro Fontanella
Petru-Daniel Tudosiu
Yongxin Yang
Shifeng Zhang
Sarah Parisot
34
1
0
16 Nov 2024
Artificial Intelligence for Biomedical Video Generation
Artificial Intelligence for Biomedical Video Generation
Linyuan Li
Jianing Qiu
Anujit Saha
Lin Li
Poyuan Li
Mengxian He
Ziyu Guo
Wu Yuan
VGen
58
1
0
12 Nov 2024
Learning Efficient and Effective Trajectories for Differential
  Equation-based Image Restoration
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Zhiyu Zhu
Jinhui Hou
Hui Liu
Huanqiang Zeng
Junhui Hou
35
0
0
07 Oct 2024
Learning to Discretize Denoising Diffusion ODEs
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong
Anji Liu
Trung-Dung Hoang
Guy Van den Broeck
Mathias Niepert
DiffM
30
4
0
24 May 2024
AutoDiffusion: Training-Free Optimization of Time Steps and
  Architectures for Automated Diffusion Model Acceleration
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
Lijiang Li
Huixia Li
Xiawu Zheng
Jie Wu
Xuefeng Xiao
Rui Wang
Min Zheng
Xin Pan
Fei Chao
R. Ji
77
35
0
19 Sep 2023
Convergence of score-based generative modeling for general data
  distributions
Convergence of score-based generative modeling for general data distributions
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
177
128
0
26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
123
246
0
22 Sep 2022
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
258
0
07 Jan 2021
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