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The Unreasonable Effectiveness of Texture Transfer for Single Image
  Super-resolution

The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution

31 July 2018
Muhammad Waleed Gondal
Bernhard Schölkopf
M. Hirsch
    SupR
ArXivPDFHTML

Papers citing "The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution"

32 / 32 papers shown
Title
The 2018 PIRM Challenge on Perceptual Image Super-resolution
The 2018 PIRM Challenge on Perceptual Image Super-resolution
Yochai Blau
Roey Mechrez
Radu Timofte
T. Michaeli
Lihi Zelnik-Manor
SupR
67
464
0
20 Sep 2018
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
199
1,926
0
20 Apr 2018
Recovering Realistic Texture in Image Super-resolution by Deep Spatial
  Feature Transform
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Xintao Wang
K. Yu
Chao Dong
Chen Change Loy
SupR
70
979
0
09 Apr 2018
The Contextual Loss for Image Transformation with Non-Aligned Data
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez
Itamar Talmi
Lihi Zelnik-Manor
151
387
0
06 Mar 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Improved Style Transfer by Respecting Inter-layer Correlations
Improved Style Transfer by Respecting Inter-layer Correlations
Mao-Chuang Yeh
Shuai Tang
105
10
0
05 Jan 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
121
810
0
16 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
118
7,339
0
27 Oct 2017
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid
  Networks
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
73
766
0
04 Oct 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
171
5,891
0
10 Jul 2017
Visual Attribute Transfer through Deep Image Analogy
Visual Attribute Transfer through Deep Image Analogy
Jing Liao
Yuan Yao
Lu Yuan
G. Hua
S. B. Kang
FAtt
GAN
OOD
70
519
0
02 May 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
StyleBank: An Explicit Representation for Neural Image Style Transfer
StyleBank: An Explicit Representation for Neural Image Style Transfer
Dongdong Chen
Lu Yuan
Jing Liao
Nenghai Yu
G. Hua
74
460
0
27 Mar 2017
Deep Photo Style Transfer
Deep Photo Style Transfer
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
GAN
79
685
0
22 Mar 2017
Super-resolution Using Constrained Deep Texture Synthesis
Super-resolution Using Constrained Deep Texture Synthesis
Libin Sun
James Hays
MDE
SupR
35
8
0
26 Jan 2017
Demystifying Neural Style Transfer
Demystifying Neural Style Transfer
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
66
521
0
04 Jan 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture
  Synthesis
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi
Bernhard Schölkopf
M. Hirsch
SupR
52
969
0
23 Dec 2016
Learning a No-Reference Quality Metric for Single-Image Super-Resolution
Learning a No-Reference Quality Metric for Single-Image Super-Resolution
Chao Ma
Chih-Yuan Yang
Xiaokang Yang
Ming-Hsuan Yang
SupR
45
510
0
18 Dec 2016
Controlling Perceptual Factors in Neural Style Transfer
Controlling Perceptual Factors in Neural Style Transfer
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
30
464
0
23 Nov 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
295
1,162
0
24 Oct 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
314
5,218
0
16 Sep 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
240
10,674
0
15 Sep 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
372
1,865
0
18 Aug 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
218
10,230
0
27 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
54
946
0
10 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,465
0
24 Feb 2016
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
Rotation-invariant convolutional neural networks for galaxy morphology
  prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
87
652
0
24 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
224
8,391
0
28 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
135
2,191
0
10 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
373
43,524
0
01 May 2014
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