ResearchTrend.AI
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration

Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration

Mikael Le Pendu
C. Guillemot
ArXiv (abs)PDFHTML

Papers citing "Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration"

4 / 4 papers shown
Title
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Deliang Wei
Peng Chen
Haobo Xu
Jiale Yao
Fang Li
Tieyong Zeng
64
0
0
13 May 2025
Learning pseudo-contractive denoisers for inverse problems
Learning pseudo-contractive denoisers for inverse problems
Deliang Wei
Peng Chen
Fang Li
75
4
0
08 Feb 2024
Interpreting and Improving Diffusion Models from an Optimization Perspective
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter
Chenyang Yuan
DiffM
56
4
0
08 Jun 2023
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
Rita Fermanian
Mikael Le Pendu
C. Guillemot
73
7
0
29 Apr 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.