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Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

3 February 2024
Xinyu Peng
Ziyang Zheng
Wenrui Dai
Nuoqian Xiao
Chenglin Li
Junni Zou
Hongkai Xiong
    DiffM
ArXivPDFHTML

Papers citing "Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance"

5 / 5 papers shown
Title
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
51
0
0
15 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi
Bahareh Tolooshams
Anima Anandkumar
DiffM
28
2
0
04 Oct 2024
Denoising Diffusion Models for Plug-and-Play Image Restoration
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu
K. Zhang
Jingyun Liang
Jiezhang Cao
B. Wen
Radu Timofte
Luc Van Gool
DiffM
58
193
0
15 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine L. Bouman
William T. Freeman
DiffM
74
85
0
23 Apr 2023
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
K. Zhang
Luc Van Gool
Radu Timofte
SupR
108
535
0
23 Mar 2020
1