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LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network
  for Flexible Compressive Sensing Reconstruction

LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction

24 July 2018
Kai Xu
Zhikang Zhang
Fengbo Ren
    GAN
ArXivPDFHTML

Papers citing "LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction"

15 / 15 papers shown
Title
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
63
285
0
21 Apr 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
115
2,441
0
12 Apr 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
139
808
0
09 Mar 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi
Richard G. Baraniuk
112
286
0
14 Jan 2017
A Data-Driven Compressive Sensing Framework Tailored For
  Energy-Efficient Wearable Sensing
A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing
Kai Xu
Yixing Li
Fengbo Ren
24
9
0
15 Dec 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,287
0
25 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,179
0
14 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
90
2,241
0
18 Jun 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
437
43,234
0
11 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
140
8,066
0
31 Dec 2014
From Denoising to Compressed Sensing
From Denoising to Compressed Sensing
Christopher A. Metzler
A. Maleki
Richard G. Baraniuk
69
616
0
16 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
552
15,874
0
12 Nov 2013
Templates for Convex Cone Problems with Applications to Sparse Signal
  Recovery
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Stephen Becker
Emmanuel J. Candès
Michael C. Grant
95
681
0
10 Sep 2010
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