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Recovery Analysis for Plug-and-Play Priors using the Restricted
  Eigenvalue Condition
v1v2 (latest)

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition

7 June 2021
Jiaming Liu
M. Salman Asif
B. Wohlberg
Ulugbek S. Kamilov
ArXiv (abs)PDFHTML

Papers citing "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition"

43 / 43 papers shown
Title
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
80
181
0
16 Feb 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Jiaming Liu
Yu Sun
Weijie Gan
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
FedMLMedIm
69
31
0
22 Jan 2021
Joint Reconstruction and Calibration using Regularization by Denoising
Joint Reconstruction and Calibration using Regularization by Denoising
Mingyang Xie
Yu Sun
Jiaming Liu
B. Wohlberg
Ulugbek S. Kamilov
77
10
0
26 Nov 2020
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
Regev Cohen
Michael Elad
P. Milanfar
82
109
0
01 Aug 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees
Scalable Plug-and-Play ADMM with Convergence Guarantees
Yu Sun
Zihui Wu
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
BDL
91
76
0
05 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
90
534
0
12 May 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OODDiffM
242
555
0
08 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
70
105
0
22 Feb 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
314
5,828
0
03 Dec 2019
Fast and Provable ADMM for Learning with Generative Priors
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
Volkan Cevher
GAN
66
44
0
07 Jul 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural
  Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
100
461
0
12 Jun 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
66
354
0
14 May 2019
Block Coordinate Regularization by Denoising
Block Coordinate Regularization by Denoising
Yu Sun
Jiaming Liu
Ulugbek S. Kamilov
69
84
0
13 May 2019
Deep Learning Methods for Parallel Magnetic Resonance Image
  Reconstruction
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll
Kerstin Hammernik
Chi Zhang
S. Moeller
Thomas Pock
D. Sodickson
Mehmet Akçakaya
OOD
80
269
0
01 Apr 2019
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang
W. Zuo
Lei Zhang
SupR
40
363
0
29 Mar 2019
DeepRED: Deep Image Prior Powered by RED
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
80
195
0
25 Mar 2019
Plug and play methods for magnetic resonance imaging (long version)
Plug and play methods for magnetic resonance imaging (long version)
Rizwan Ahmad
Charles A. Bouman
G. Buzzard
Stanley H. Chan
Sizhuo Liu
E. T. Reehorst
Philip Schniter
123
196
0
20 Mar 2019
Alternating Phase Projected Gradient Descent with Generative Priors for
  Solving Compressive Phase Retrieval
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
Rakib Hyder
Viraj Shah
Chinmay Hegde
M. Salman Asif
55
47
0
07 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
606
10,590
0
12 Dec 2018
Algorithmic Aspects of Inverse Problems Using Generative Models
Algorithmic Aspects of Inverse Problems Using Generative Models
Chinmay Hegde
GAN
61
21
0
08 Oct 2018
Deep Decoder: Concise Image Representations from Untrained
  Non-convolutional Networks
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel
Paul Hand
90
287
0
02 Oct 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
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
94
221
0
06 Jun 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
83
170
0
01 Mar 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with
  Provable Guarantees
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
Chinmay Hegde
GAN
96
167
0
23 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
159
4,444
0
16 Feb 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
65
424
0
21 Jan 2018
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
166
486
0
21 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
145
1,022
0
07 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
125
3,166
0
29 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
166
7,376
0
27 Oct 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
593
0
11 Oct 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
77
186
0
24 May 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
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
81
804
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
7,012
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
68
767
0
05 May 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
80
342
0
23 Dec 2015
A Deep Learning Approach to Structured Signal Recovery
A Deep Learning Approach to Structured Signal Recovery
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
56
443
0
17 Aug 2015
On learning optimized reaction diffusion processes for effective image
  restoration
On learning optimized reaction diffusion processes for effective image restoration
Yunjin Chen
Wei Yu
Thomas Pock
DiffM
67
323
0
19 Mar 2015
From Denoising to Compressed Sensing
From Denoising to Compressed Sensing
Christopher A. Metzler
A. Maleki
Richard G. Baraniuk
97
617
0
16 Jun 2014
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
538
2,531
0
07 Jan 2008
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