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Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative
  Models

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

15 June 2023
Gen Li
Yuting Wei
Yuxin Chen
Yuejie Chi
    DiffM
ArXivPDFHTML

Papers citing "Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models"

45 / 45 papers shown
Title
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Yiding Chen
Yiyi Zhang
Owen Oertell
Wen Sun
DiffM
47
0
0
06 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
Gen Li
Changxiao Cai
Yuting Wei
DiffM
20
1
0
07 Apr 2025
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
Hanyang Zhao
Haoxian Chen
Yucheng Guo
Genta Indra Winata
Tingting Ou
Ziyu Huang
D. Yao
Wenpin Tang
54
0
0
13 Mar 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
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
93
0
0
13 Feb 2025
Information-Theoretic Proofs for Diffusion Sampling
Information-Theoretic Proofs for Diffusion Sampling
Galen Reeves
H. Pfister
DiffM
87
0
0
04 Feb 2025
Improved Convergence Rate for Diffusion Probabilistic Models
Improved Convergence Rate for Diffusion Probabilistic Models
Gen Li
Yuchen Jiao
DiffM
36
6
0
17 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
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
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
47
3
0
03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors
Posterior sampling via Langevin dynamics based on generative priors
Vishal Purohit
Matthew Repasky
Jianfeng Lu
Qiang Qiu
Yao Xie
Xiuyuan Cheng
DiffM
26
1
0
02 Oct 2024
What does guidance do? A fine-grained analysis in a simple setting
What does guidance do? A fine-grained analysis in a simple setting
Muthu Chidambaram
Khashayar Gatmiry
Sitan Chen
Holden Lee
Jianfeng Lu
24
8
0
19 Sep 2024
Constrained Diffusion Models via Dual Training
Constrained Diffusion Models via Dual Training
Shervin Khalafi
Dongsheng Ding
Alejandro Ribeiro
27
3
0
27 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
  Models
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
33
21
0
05 Aug 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules
Convergence of the denoising diffusion probabilistic models for general noise schedules
Yumiharu Nakano
DiffM
47
0
0
03 Jun 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at
  Sub-Linear Time Complexity
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen
Yinuo Ren
Lexing Ying
Grant M. Rotskoff
38
15
0
24 May 2024
Model Free Prediction with Uncertainty Assessment
Model Free Prediction with Uncertainty Assessment
Yuling Jiao
Lican Kang
Jin Liu
Heng Peng
Heng Zuo
DiffM
19
0
0
21 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and
  Diffusion in Generative Hierarchical Models
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DV
AI4CE
DiffM
31
11
0
29 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
32
48
0
11 Apr 2024
Provably Robust Score-Based Diffusion Posterior Sampling for
  Plug-and-Play Image Reconstruction
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu
Yuejie Chi
DiffM
24
20
0
25 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li
Yu Huang
Timofey Efimov
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
51
29
0
06 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian
  Mixture Models
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Yuchen Wu
Minshuo Chen
Zihao Li
Mengdi Wang
Yuting Wei
35
23
0
03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in
  diffusion models
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li
Sitan Chen
DiffM
35
11
0
03 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions:
  Alleviating Metastability by Denoising Diffusion
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
33
8
0
27 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation
  through Uniformization
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization
Hongrui Chen
Lexing Ying
22
11
0
12 Feb 2024
Towards a mathematical theory for consistency training in diffusion
  models
Towards a mathematical theory for consistency training in diffusion models
Gen Li
Zhihan Huang
Yuting Wei
61
16
0
12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a
  Technical Tutorial
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Wenpin Tang
Hanyang Zhao
DiffM
36
23
0
12 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion
  Models in Wasserstein Distances
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao
Lingjiong Zhu
17
20
0
31 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization
  and Generalization
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
DiffM
38
12
0
28 Jan 2024
Contractive Diffusion Probabilistic Models
Contractive Diffusion Probabilistic Models
Wenpin Tang
Hanyang Zhao
DiffM
36
12
0
23 Jan 2024
A Good Score Does not Lead to A Good Generative Model
A Good Score Does not Lead to A Good Generative Model
Sixu Li
Shi Chen
Qin Li
DiffM
64
15
0
10 Jan 2024
A Note on the Convergence of Denoising Diffusion Probabilistic Models
A Note on the Convergence of Denoising Diffusion Probabilistic Models
S. Mbacke
Omar Rivasplata
DiffM
14
5
0
10 Dec 2023
Conditional Stochastic Interpolation for Generative Learning
Conditional Stochastic Interpolation for Generative Learning
Ding Huang
Jian Huang
Ting Li
Guohao Shen
BDL
DiffM
31
4
0
09 Dec 2023
Convergence of flow-based generative models via proximal gradient
  descent in Wasserstein space
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
96
15
0
26 Oct 2023
Analysis of learning a flow-based generative model from limited sample
  complexity
Analysis of learning a flow-based generative model from limited sample complexity
Hugo Cui
Florent Krzakala
Eric Vanden-Eijnden
Lenka Zdeborová
DRL
22
17
0
05 Oct 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of
  Diffusion Models in High-Dimensional Graphical Models
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei
Yuchen Wu
DiffM
21
26
0
20 Sep 2023
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic
  Localization
Nearly ddd-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Joe Benton
Valentin De Bortoli
Arnaud Doucet
George Deligiannidis
DiffM
31
101
0
07 Aug 2023
Learning Mixtures of Gaussians Using the DDPM Objective
Learning Mixtures of Gaussians Using the DDPM Objective
Kulin Shah
Sitan Chen
Adam R. Klivans
DiffM
29
37
0
03 Jul 2023
Error Bounds for Flow Matching Methods
Error Bounds for Flow Matching Methods
Joe Benton
George Deligiannidis
Arnaud Doucet
DiffM
20
31
0
26 May 2023
Improved Convergence of Score-Based Diffusion Models via
  Prediction-Correction
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
Francesco Pedrotti
J. Maas
Marco Mondelli
DiffM
24
14
0
23 May 2023
The probability flow ODE is provably fast
The probability flow ODE is provably fast
Sitan Chen
Sinho Chewi
Holden Lee
Yuanzhi Li
Jianfeng Lu
Adil Salim
DiffM
28
84
0
19 May 2023
Diffusion Models are Minimax Optimal Distribution Estimators
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko
Shunta Akiyama
Taiji Suzuki
DiffM
61
84
0
03 Mar 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
245
0
22 Sep 2022
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
191
1,133
0
10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,296
0
02 Sep 2022
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