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Fine-grained Attention and Feature-sharing Generative Adversarial
  Networks for Single Image Super-Resolution

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

25 November 2019
Yitong Yan
Chuangchuang Liu
Changyou Chen
Xianfang Sun
Longcun Jin
Xiang Zhou
    GAN
ArXivPDFHTML

Papers citing "Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution"

5 / 5 papers shown
Title
Deep learning-based blind image super-resolution with iterative kernel
  reconstruction and noise estimation
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
H. Ateş
S. Yildirim
B. Gunturk
SupR
28
16
0
25 Apr 2024
Criteria Comparative Learning for Real-scene Image Super-Resolution
Criteria Comparative Learning for Real-scene Image Super-Resolution
Yukai Shi
Hao Li
Senyang Zhang
Zhi Yang
Xiao Wang
SupR
18
14
0
26 Jul 2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Hao Li
Jinghui Qin
Zhi Yang
Pengxu Wei
Jin-shan Pan
Liang Lin
Yukai Shi
33
19
0
06 Jun 2022
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure
  Synthetic Data
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang
Liangbin Xie
Chao Dong
Ying Shan
37
1,106
0
22 Jul 2021
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
198
5,176
0
16 Sep 2016
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