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Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

27 March 2016
Justin Johnson
Alexandre Alahi
Li Fei-Fei
    SupR
ArXiv (abs)PDFHTML

Papers citing "Perceptual Losses for Real-Time Style Transfer and Super-Resolution"

50 / 4,012 papers shown
Title
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang
Vishwanath A. Sindagi
Vishal M. Patel
GAN
230
1,030
0
21 Jan 2017
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Xiaokui Shu
Kristyn Stewart
D. Shapiro
72
30
0
18 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DHCVBM
103
140
0
17 Jan 2017
Human perception in computer vision
Human perception in computer vision
Ron Dekel
OOD
61
10
0
17 Jan 2017
Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware
  Semantic Segmentation
Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation
Carlos D. Castillo
Soham De
Xintong Han
Bharat Singh
A. Yadav
Tom Goldstein
69
40
0
09 Jan 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
122
797
0
09 Jan 2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan
Cristian Canton Ferrer
Kevin McGuinness
Noel E. O'Connor
Jordi Torres
E. Sayrol
Xavier Giró-i-Nieto
GAN
119
399
0
04 Jan 2017
Demystifying Neural Style Transfer
Demystifying Neural Style Transfer
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
97
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
97
974
0
23 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OODGAN
175
1,537
0
16 Dec 2016
Learning Residual Images for Face Attribute Manipulation
Learning Residual Images for Face Attribute Manipulation
Wei Shen
Rujie Liu
CVBMGAN
109
253
0
16 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
130
459
0
13 Dec 2016
Fast Patch-based Style Transfer of Arbitrary Style
Fast Patch-based Style Transfer of Arbitrary Style
T. Chen
Mark Schmidt
107
378
0
13 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
60
73
0
10 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
157
2,730
0
10 Dec 2016
Authoring image decompositions with generative models
Authoring image decompositions with generative models
Jason Rock
Theerasit Issaranon
Aditya Deshpande
David A. Forsyth
DRL
43
0
0
05 Dec 2016
On-Demand Learning for Deep Image Restoration
On-Demand Learning for Deep Image Restoration
Ruohan Gao
Kristen Grauman
103
79
0
05 Dec 2016
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GANDiffM
140
500
0
02 Dec 2016
Texture Enhancement via High-Resolution Style Transfer for Single-Image
  Super-Resolution
Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution
I. Ahn
W. H. Nam
SupR
58
4
0
01 Dec 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe Lin
Eli Shechtman
Oliver Wang
Hao Li
90
781
0
30 Nov 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
103
670
0
29 Nov 2016
Fast Face-swap Using Convolutional Neural Networks
Fast Face-swap Using Convolutional Neural Networks
I. Korshunova
Wenzhe Shi
J. Dambre
Lucas Theis
CVBM3DHPICV
129
383
0
29 Nov 2016
Awesome Typography: Statistics-Based Text Effects Transfer
Awesome Typography: Statistics-Based Text Effects Transfer
Shuai Yang
Jiaying Liu
Zheng Lian
Zongming Guo
92
76
0
28 Nov 2016
Texture Synthesis with Spatial Generative Adversarial Networks
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev
Urs M. Bergmann
Roland Vollgraf
GAN
81
214
0
24 Nov 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
80
466
0
23 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
477
19,761
0
21 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
  for Fast Artistic Style Transfer
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Eric Wang
Geoffrey Oxholm
Da Zhang
Yuan-fang Wang
GANOffRL
88
168
0
17 Nov 2016
Neural Style Representations and the Large-Scale Classification of
  Artistic Style
Neural Style Representations and the Large-Scale Classification of Artistic Style
Jeremiah W. Johnson
GAN
113
3
0
16 Nov 2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
Shu Zhang
Ran He
Tieniu Tan
CVBM3DH
90
73
0
16 Nov 2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and
  Motion Compensation
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero
C. Ledig
Andrew P. Aitken
Alejandro Acosta
J. Totz
Zehan Wang
Wenzhe Shi
SupR
136
664
0
16 Nov 2016
Will People Like Your Image? Learning the Aesthetic Space
Will People Like Your Image? Learning the Aesthetic Space
Katharina Schwarz
P. Wieschollek
Hendrik P. A. Lensch
82
49
0
16 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
89
89
0
15 Nov 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GANOOD
116
1,003
0
07 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
186
1,007
0
07 Nov 2016
Chinese/English mixed Character Segmentation as Semantic Segmentation
Chinese/English mixed Character Segmentation as Semantic Segmentation
Huabin Zheng
Jingyu Wang
Zhengjie Huang
Yang Yang
Rong Pan
37
3
0
07 Nov 2016
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINNAI4CE
132
233
0
05 Nov 2016
Learnable Visual Markers
Learnable Visual Markers
O. Grinchuk
V. Lebedev
Victor Lempitsky
GAN
40
13
0
28 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
360
1,168
0
24 Oct 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
244
408
0
20 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
110
149
0
18 Oct 2016
Deep Feature Consistent Variational Autoencoder
Deep Feature Consistent Variational Autoencoder
Xianxu Hou
Linlin Shen
Ke Sun
Guoping Qiu
DRL
42
0
0
02 Oct 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
61
9
0
23 Sep 2016
Is the deconvolution layer the same as a convolutional layer?
Is the deconvolution layer the same as a convolutional layer?
Wenzhe Shi
Jose Caballero
Lucas Theis
Ferenc Huszár
Andrew P. Aitken
C. Ledig
Zehan Wang
97
139
0
22 Sep 2016
Deep Impression: Audiovisual Deep Residual Networks for Multimodal
  Apparent Personality Trait Recognition
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Yağmur Güçlütürk
Umut Güçlü
Marcel van Gerven
R. Lier
CVBM
55
97
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
515
10,753
0
15 Sep 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
176
1,399
0
12 Sep 2016
Style-Transfer via Texture-Synthesis
Style-Transfer via Texture-Synthesis
Michael Elad
P. Milanfar
OOD
89
139
0
10 Sep 2016
Convolutional Network for Attribute-driven and Identity-preserving Human
  Face Generation
Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation
Mu Li
W. Zuo
David C. Zhang
CVBM
70
51
0
23 Aug 2016
Every Filter Extracts A Specific Texture In Convolutional Neural
  Networks
Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Zhiqiang Xia
Ce Zhu
Z. Wang
Qi Guo
Yipeng Liu
FAtt
48
2
0
15 Aug 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
152
288
0
27 Jul 2016
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