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Plug-and-Play Unplugged: Optimization Free Reconstruction using
  Consensus Equilibrium

Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium

24 May 2017
G. Buzzard
Stanley H. Chan
S. Sreehari
Charles A. Bouman
ArXivPDFHTML

Papers citing "Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium"

23 / 23 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
21
0
0
13 May 2025
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
Shuchang Zhang
Hui Zhang
Hongxia Wang
63
0
0
18 Jul 2024
Learning pseudo-contractive denoisers for inverse problems
Learning pseudo-contractive denoisers for inverse problems
Deliang Wei
Peng Chen
Fang Li
30
4
0
08 Feb 2024
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
28
11
0
22 May 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for
  Dynamic Imaging
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
Berk Iskender
M. Klasky
Y. Bresler
33
3
0
07 Apr 2023
Plug-and-Play Deep Energy Model for Inverse problems
Plug-and-Play Deep Energy Model for Inverse problems
Jyothi Rikabh Chand
M. Jacob
24
0
0
15 Feb 2023
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on
  Fixed-Point Iteration
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Yuma Koizumi
Kohei Yatabe
Heiga Zen
M. Bacchiani
DiffM
42
29
0
03 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior
Video Restoration with a Deep Plug-and-Play Prior
Antoine Monod
J. Delon
Matias Tassano
Andrés Almansa
32
1
0
06 Sep 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched
  Priors
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
Shirin Shoushtari
Jiaming Liu
Yuyang Hu
Ulugbek S. Kamilov
26
6
0
26 Jul 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
Shijun Liang
Anish Lahiri
S. Ravishankar
24
2
0
01 Jun 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and
  stochastic gradient descent
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
25
25
0
16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
33
93
0
07 Oct 2021
Wasserstein Patch Prior for Image Superresolution
Wasserstein Patch Prior for Image Superresolution
J. Hertrich
Antoine Houdard
C. Redenbach
SupR
MDE
29
22
0
27 Sep 2021
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
46
37
0
21 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
52
225
0
23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
24
109
0
08 Mar 2021
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic
  Method using Deep Denoising Priors
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun
Jiaming Liu
Yiran Sun
B. Wohlberg
Ulugbek S. Kamilov
37
15
0
03 Oct 2020
Momentum-Net: Fast and convergent iterative neural network for inverse
  problems
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
19
81
0
26 Jul 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zhangyang Wang
W. Yin
AI4CE
22
347
0
14 May 2019
Block Coordinate Regularization by Denoising
Block Coordinate Regularization by Denoising
Yu Sun
Jiaming Liu
Ulugbek S. Kamilov
30
82
0
13 May 2019
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging
  Problems
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Franziska Schirrmacher
Thomas Köhler
Christian Riess
19
5
0
06 Apr 2018
Convolutional Analysis Operator Learning: Acceleration and Convergence
Convolutional Analysis Operator Learning: Acceleration and Convergence
Il Yong Chun
Jeffrey A. Fessler
35
46
0
15 Feb 2018
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