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End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

26 July 2016
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
    SupR
    OOD
ArXivPDFHTML

Papers citing "End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks"

6 / 6 papers shown
Title
A heterogeneous group CNN for image super-resolution
A heterogeneous group CNN for image super-resolution
Chunwei Tian
Yanning Zhang
W. Zuo
Chia-Wen Lin
David C. Zhang
Yixuan Yuan
SupR
43
59
0
26 Sep 2022
Image Super-resolution with An Enhanced Group Convolutional Neural
  Network
Image Super-resolution with An Enhanced Group Convolutional Neural Network
Chunwei Tian
Yixuan Yuan
Shichao Zhang
Chia-Wen Lin
W. Zuo
David C. Zhang
SupR
15
97
0
29 May 2022
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
6
47
0
06 Aug 2019
Boosting Resolution and Recovering Texture of micro-CT Images with Deep
  Learning
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning
Ying Da Wang
R. Armstrong
P. Mostaghimi
OOD
SupR
19
68
0
15 Jul 2019
Attribute-Guided Face Generation Using Conditional CycleGAN
Attribute-Guided Face Generation Using Conditional CycleGAN
Yongyi Lu
Yu-Wing Tai
Chi-Keung Tang
GAN
CVBM
26
78
0
28 May 2017
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
190
5,173
0
16 Sep 2016
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