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On Error Propagation of Diffusion Models
v1v2v3 (latest)

On Error Propagation of Diffusion Models

International Conference on Learning Representations (ICLR), 2023
9 August 2023
Yangming Li
M. Schaar
    DiffM
ArXiv (abs)PDFHTML

Papers citing "On Error Propagation of Diffusion Models"

17 / 17 papers shown
ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching
ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching
Guanbo Huang
Jingjia Mao
Fanding Huang
Fengkai Liu
Xiangyang Luo
...
Jiasheng Lu
X. Wang
Pei Liu
Ruiliu Fu
Shao-Lun Huang
199
0
0
04 Dec 2025
EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities
EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities
Travis Davies
Yiqi Huang
Alexi Gladstone
Yunxin Liu
Xiang Chen
Heng Ji
Huxian Liu
Luhui Hu
OffRL
215
1
0
31 Oct 2025
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao
Jiancan Wu
Guoqing Hu
Zhengyi Yang
Wei Ji
Xiang Wang
DiffM
271
2
0
20 Oct 2025
Flow-Matching Based Refiner for Molecular Conformer Generation
Flow-Matching Based Refiner for Molecular Conformer Generation
Xiangyang Xu
Hongyang Gao
DiffMBDL
207
1
0
06 Oct 2025
Cloud Model Characteristic Function Auto-Encoder: Integrating Cloud Model Theory with MMD Regularization for Enhanced Generative Modeling
Cloud Model Characteristic Function Auto-Encoder: Integrating Cloud Model Theory with MMD Regularization for Enhanced Generative Modeling
Biao Hu
Guoyin Wang
109
0
0
06 Aug 2025
A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE
A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HESynchrotron Radiation News (SRN), 2025
A. Mishra
Matt Seaberg
Ryan Roussel
Fred Poitevin
Jana Thayer
Daniel Ratner
A. Edelen
Apurva Mehta
775
1
0
29 May 2025
A Fourier Space Perspective on Diffusion Models
A Fourier Space Perspective on Diffusion Models
Fabian Falck
Teodora Pandeva
Kiarash Zahirnia
Rachel Lawrence
Richard Turner
Edward Meeds
Javier Zazo
Sushrut Karmalkar
DiffMMedIm
286
21
0
16 May 2025
Q&C: When Quantization Meets Cache in Efficient Image Generation
Xin Ding
Xiaochen Li
Haotong Qin
Zhibo Chen
DiffMMQ
418
1
0
04 Mar 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less ComputeComputer Vision and Pattern Recognition (CVPR), 2025
Sotiris Anagnostidis
Gregor Bachmann
Yeongmin Kim
Jonas Kohler
Markos Georgopoulos
A. Sanakoyeu
Yuming Du
Albert Pumarola
Ali K. Thabet
Edgar Schönfeld
426
8
0
27 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Improved Diffusion-based Generative Model with Better Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2025
Zekun Wang
Mingyang Yi
Shuchen Xue
Zhiyu Li
Ming Liu
Bing Qin
Zhi-Ming Ma
DiffM
373
1
0
24 Feb 2025
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
Hansheng Chen
Bokui Shen
Yulin Liu
Ruoxi Shi
Linqi Zhou
Connor Z. Lin
Jiayuan Gu
H. Su
Gordon Wetzstein
Leonidas Guibas
519
12
0
21 Feb 2025
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent
  Training for Image Restoration
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
Xinlong Cheng
Tiantian Cao
Guoan Cheng
Bangxuan Huang
Xinghan Tian
Ye Wang
Xiaoyu He
Weixin Li
Tianfan Xue
Xuan Dong
DiffM
267
1
0
17 Dec 2024
Timestep-Aware Correction for Quantized Diffusion Models
Timestep-Aware Correction for Quantized Diffusion Models
Yuzhe Yao
Feng Tian
Jun Chen
Haonan Lin
Guang Dai
Yong Liu
Jingdong Wang
DiffMMQ
242
11
0
04 Jul 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
521
14
0
17 Jun 2024
Deep MMD Gradient Flow without adversarial training
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov
Valentin De Bortoli
Arthur Gretton
DiffM
271
11
0
10 May 2024
Elucidating the Exposure Bias in Diffusion Models
Elucidating the Exposure Bias in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Mang Ning
Mingxiao Li
Jianlin Su
A. A. Salah
Itir Onal Ertugrul
DiffM
568
79
0
29 Aug 2023
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
SinDiffusion: Learning a Diffusion Model from a Single Natural ImageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
194
64
0
22 Nov 2022
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