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Recurrent Generative Adversarial Networks for Proximal Learning and
  Automated Compressive Image Recovery

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery

27 November 2017
Morteza Mardani
Hatef Monajemi
Vardan Papyan
S. Vasanawala
D. Donoho
John M. Pauly
    GANSupR
ArXiv (abs)PDFHTML

Papers citing "Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery"

17 / 17 papers shown
Title
Learning to synthesize: splitting and recombining low and high spatial
  frequencies for image recovery
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng
Shuai Li
George Barbastathis
SupR
100
18
0
19 Nov 2018
Learning to solve inverse problems using Wasserstein loss
Learning to solve inverse problems using Wasserstein loss
J. Adler
Axel Ringh
Ozan Oktem
Johan Karlsson
53
38
0
30 Oct 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
62
752
0
20 Jul 2017
Deep Generative Adversarial Networks for Compressed Sensing Automates
  MRI
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
Morteza Mardani
Enhao Gong
Joseph Y. Cheng
S. Vasanawala
Greg Zaharchuk
...
Neil Thakur
Song Han
W. Dally
John M. Pauly
Lei Xing
MedImGAN
50
157
0
31 May 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Paul Hand
V. Voroninski
UQCV
140
138
0
22 May 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
152
810
0
09 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
110
348
0
01 Mar 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
331
4,574
0
13 Nov 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
97
435
0
14 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GANVLM
83
1,176
0
26 Jul 2016
RAISR: Rapid and Accurate Image Super Resolution
RAISR: Rapid and Accurate Image Super Resolution
Yaniv Romano
J. Isidoro
P. Milanfar
SupR
53
261
0
03 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
65
326
0
18 Nov 2015
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
A. Majumdar
49
25
0
22 Mar 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
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