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Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
v1v2 (latest)

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

16 September 2016
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
    SupR
ArXiv (abs)PDFHTML

Papers citing "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

43 / 1,593 papers shown
Title
Multi-frame image super-resolution with fast upscaling technique
Multi-frame image super-resolution with fast upscaling technique
Longguang Wang
Zaiping Lin
Xinpu Deng
W. An
SupR
56
10
0
20 Jun 2017
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Jianyu Lin
N. Clancy
Yang Hu
Ji Qi
T. Tatla
Danail Stoyanov
Lena Maier-Hein
Daniel Elson
84
15
0
19 Jun 2017
Enhancing SDO/HMI images using deep learning
Enhancing SDO/HMI images using deep learning
C. D. Baso
A. Ramos
44
51
0
09 Jun 2017
Attribute-Guided Face Generation Using Conditional CycleGAN
Attribute-Guided Face Generation Using Conditional CycleGAN
Yongyi Lu
Yu-Wing Tai
Chi-Keung Tang
GANCVBM
101
78
0
28 May 2017
Pose Guided Person Image Generation
Pose Guided Person Image Generation
Liqian Ma
Xu Jia
Qianru Sun
Bernt Schiele
Tinne Tuytelaars
Luc Van Gool
GAN
131
820
0
25 May 2017
Convolutional Networks with MuxOut Layers as Multi-rate Systems for
  Image Upscaling
Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling
Pablo Navarrete Michelini
Hanwen Liu
38
2
0
22 May 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
...
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
90
662
0
22 May 2017
Pixel Deconvolutional Networks
Pixel Deconvolutional Networks
Hongyang Gao
Hao Yuan
Zhengyang Wang
Shuiwang Ji
SSeg
155
47
0
18 May 2017
Single Image Super-Resolution Using Multi-Scale Convolutional Neural
  Network
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network
Xiaoyi Jia
Xiangmin Xu
Bolun Cai
K. Guo
SupR
119
15
0
15 May 2017
Deep Learning Microscopy
Deep Learning Microscopy
Y. Rivenson
Z. Gorocs
H. Gunaydin
Yibo Zhang
Hongda Wang
Aydogan Ozcan
MedIm
70
387
0
12 May 2017
A Design Methodology for Efficient Implementation of Deconvolutional
  Neural Networks on an FPGA
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
Xinyu Zhang
Srinjoy Das
Ojash Neopane
Ken Kreutz-Delgado
BDL
32
39
0
07 May 2017
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI
  Super-Resolution
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution
Ryutaro Tanno
Daniel E. Worrall
Aurobrata Ghosh
Enrico Kaden
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
UQCVDiffMMedImSupR
86
152
0
01 May 2017
Fast PET reconstruction using Multi-scale Fully Convolutional Neural
  Networks
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks
J. Jiao
Sebastien Ourselin
MedIm
64
14
0
24 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
131
2,451
0
12 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
121
506
0
10 Apr 2017
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
K. Vanhoey
Luc Van Gool
118
520
0
08 Apr 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
92
1,140
0
08 Apr 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible
  Representations
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
E. Agustsson
Fabian Mentzer
Michael Tschannen
Lukas Cavigelli
Radu Timofte
Luca Benini
Luc Van Gool
MQ
115
484
0
03 Apr 2017
Learned Spectral Super-Resolution
Learned Spectral Super-Resolution
S. Galliani
Charis Lanaras
D. Marmanis
E. Baltsavias
Konrad Schindler
SupRSSL
80
119
0
28 Mar 2017
Local Patch Encoding-Based Method for Single Image Super-Resolution
Local Patch Encoding-Based Method for Single Image Super-Resolution
Yangshen Zhao
Ronggang Wang
Wei Jia
Jianchao Yang
Wenmin Wang
Wen Gao
SupR
33
4
0
12 Mar 2017
Parallel Multiscale Autoregressive Density Estimation
Parallel Multiscale Autoregressive Density Estimation
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
114
207
0
10 Mar 2017
LesionSeg: Semantic segmentation of skin lesions using Deep
  Convolutional Neural Network
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network
D. Ramachandram
Terrance Devries
MedImSSeg
29
10
0
09 Mar 2017
Generative Compression
Generative Compression
Shibani Santurkar
David Budden
Nir Shavit
VGenDiffMGAN
123
189
0
04 Mar 2017
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedImOOD
184
232
0
03 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
135
348
0
01 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
101
1,056
0
01 Mar 2017
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance
  Imaging
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
Jingyu Sun
Benjamin Hou
Konstantinos Kamnitsas
Ozan Oktay
A. Alansary
M. Rutherford
Joseph V. Hajnal
Bernhard Kainz
73
47
0
28 Feb 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
114
1,697
0
27 Feb 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
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
95
974
0
23 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
Deep Video Deblurring
Deep Video Deblurring
Shuochen Su
M. Delbracio
Jue Wang
Guillermo Sapiro
Wolfgang Heidrich
Oliver Wang
107
50
0
25 Nov 2016
Deep Tensor Convolution on Multicores
Deep Tensor Convolution on Multicores
David Budden
A. Matveev
Shibani Santurkar
S. Chaudhuri
Nir Shavit
85
39
0
20 Nov 2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via
  Persistent Homology Analysis
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Yoseob Han
J. Yoo
J. C. Ye
73
206
0
19 Nov 2016
Beyond Deep Residual Learning for Image Restoration: Persistent
  Homology-Guided Manifold Simplification
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae
J. Yoo
J. C. Ye
SupR
120
182
0
19 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
134
664
0
16 Nov 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
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
129
435
0
14 Oct 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
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
479
10,753
0
15 Sep 2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
SupROOD
83
140
0
26 Jul 2016
FAST: A Framework to Accelerate Super-Resolution Processing on
  Compressed Videos
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos
Zhengdong Zhang
Vivienne Sze
SupR
62
39
0
29 Mar 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
335
5,269
0
22 Dec 2015
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