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Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

14 May 2019
Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zhangyang Wang
W. Yin
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Plug-and-Play Methods Provably Converge with Properly Trained Denoisers"

45 / 45 papers shown
Title
Approximation theory for 1-Lipschitz ResNets
Approximation theory for 1-Lipschitz ResNets
Davide Murari
Takashi Furuya
Carola-Bibiane Schönlieb
72
0
0
17 May 2025
Bridging the Theoretical Gap in Randomized Smoothing
Bridging the Theoretical Gap in Randomized Smoothing
Blaise Delattre
Paul Caillon
Quentin Barthélemy
Erwan Fagnou
Alexandre Allauzen
AAML
147
0
0
03 Apr 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
Ulugbek S. Kamilov
MedIm
139
5
0
21 Feb 2025
Gradient Networks
Gradient Networks
Shreyas Chaudhari
Srinivasa Pranav
J. M. F. Moura
119
0
0
28 Jan 2025
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
Shuo Li
Mehrdad Yaghoobi
119
0
0
14 Jan 2025
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Michael Unser
Alexis Goujon
Stanislas Ducotterd
86
2
0
23 Aug 2024
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
96
0
0
18 Jul 2024
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud
Jiaming Liu
Valentin De Bortoli
Andrés Almansa
Ulugbek S. Kamilov
88
5
0
05 Oct 2023
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM
Ruturaj G. Gavaskar
K. Chaudhury
60
13
0
31 Oct 2019
Plug-In Stochastic Gradient Method
Plug-In Stochastic Gradient Method
Yu Sun
B. Wohlberg
Ulugbek S. Kamilov
BDL
29
4
0
08 Nov 2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Yu Sun
Shiqi Xu
Yunzhe Li
Lei Tian
B. Wohlberg
Ulugbek S. Kamilov
56
44
0
31 Oct 2018
Neural Nearest Neighbors Networks
Neural Nearest Neighbors Networks
Tobias Plötz
Stefan Roth
73
340
0
30 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
82
188
0
22 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
271
5,404
0
28 Sep 2018
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Yu Sun
B. Wohlberg
Ulugbek S. Kamilov
45
209
0
12 Sep 2018
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing
  Perspective
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Stanley H. Chan
47
58
0
31 Aug 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical
  Weights and Thresholds
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
Xiaohan Chen
Jialin Liu
Zhangyang Wang
W. Yin
75
235
0
29 Aug 2018
Lipschitz regularized Deep Neural Networks generalize and are
  adversarially robust
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust
Chris Finlay
Jeff Calder
Bilal Abbasi
Adam M. Oberman
58
55
0
28 Aug 2018
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
100
221
0
06 Jun 2018
Multi-level Wavelet-CNN for Image Restoration
Multi-level Wavelet-CNN for Image Restoration
Pengju Liu
Hongzhi Zhang
Peng Sun
Liang Lin
W. Zuo
SupR
65
651
0
18 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
172
481
0
12 Apr 2018
L2-Nonexpansive Neural Networks
L2-Nonexpansive Neural Networks
Haifeng Qian
M. Wegman
47
74
0
22 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
164
4,445
0
16 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation
  Invariance for Deep Neural Networks
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Yusuke Tsuzuku
Issei Sato
Masashi Sugiyama
AAML
105
309
0
12 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
83
468
0
31 Jan 2018
Denoising Prior Driven Deep Neural Network for Image Restoration
Denoising Prior Driven Deep Neural Network for Image Restoration
W. Dong
Peiyao Wang
W. Yin
Guangming Shi
Fangfang Wu
Xiaotong Lu
SupR
67
424
0
21 Jan 2018
InverseNet: Solving Inverse Problems with Splitting Networks
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan
Qinglai Wei
Wenlin Wang
Amit Chakraborty
Katherine A. Heller
62
8
0
01 Dec 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
128
2,127
0
11 Oct 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
212
1,225
0
26 Jun 2017
Plug-and-Play Unplugged: Optimization Free Reconstruction using
  Consensus Equilibrium
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
G. Buzzard
Stanley H. Chan
S. Sreehari
Charles A. Bouman
79
186
0
24 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image
  Recovery
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler
Ali Mousavi
Richard G. Baraniuk
65
286
0
21 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing
  Inverse Imaging Problems
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt
Michael Möller
C. Hazirbas
Daniel Cremers
66
356
0
11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration
Learning Deep CNN Denoiser Prior for Image Restoration
Peng Sun
W. Zuo
Shuhang Gu
Lei Zhang
SupR
152
1,847
0
11 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
65
348
0
29 Mar 2017
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy
S. Sreehari
S. Venkatakrishnan
Katherine Bouman
Jeff P. Simmons
L. Drummy
Charles A. Bouman
41
32
0
28 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED)
The Little Engine that Could: Regularization by Denoising (RED)
Yaniv Romano
Michael Elad
P. Milanfar
DiffM
95
805
0
09 Nov 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
145
7,016
0
13 Aug 2016
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and
  Applications
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications
Stanley H. Chan
Xiran Wang
Omar A. Elgendy
72
770
0
05 May 2016
Image Restoration and Reconstruction using Variable Splitting and
  Class-adapted Image Priors
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
56
77
0
12 Feb 2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse
  Interpolation
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
S. Sreehari
S. Venkatakrishnan
B. Wohlberg
L. Drummy
Jeff P. Simmons
Charles A. Bouman
83
343
0
23 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Poisson Inverse Problems by the Plug-and-Play scheme
Poisson Inverse Problems by the Plug-and-Play scheme
A. Rond
Raja Giryes
Michael Elad
78
130
0
08 Nov 2015
Postprocessing of Compressed Images via Sequential Denoising
Postprocessing of Compressed Images via Sequential Denoising
Yehuda Dar
A. Bruckstein
Michael Elad
Raja Giryes
59
74
0
30 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
From Denoising to Compressed Sensing
From Denoising to Compressed Sensing
Christopher A. Metzler
A. Maleki
Richard G. Baraniuk
102
618
0
16 Jun 2014
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