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TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to
  Inverse Imaging Problems

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems

18 November 2020
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
ArXivPDFHTML

Papers citing "TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems"

4 / 4 papers shown
Title
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair
Ruturaj G. Gavaskar
K. Chaudhury
43
37
0
21 Apr 2021
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
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
54
211
0
06 Jun 2018
The Projected GSURE for Automatic Parameter Tuning in Iterative
  Shrinkage Methods
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Raja Giryes
Michael Elad
Yonina C. Eldar
82
129
0
21 Mar 2010
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