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Residual Feature Distillation Network for Lightweight Image
  Super-Resolution

Residual Feature Distillation Network for Lightweight Image Super-Resolution

24 September 2020
Jie Liu
Jie Tang
Gangshan Wu
ArXivPDFHTML

Papers citing "Residual Feature Distillation Network for Lightweight Image Super-Resolution"

6 / 106 papers shown
Title
Image deblurring based on lightweight multi-information fusion network
Image deblurring based on lightweight multi-information fusion network
Yanni Zhang
Yiming Liu
Qiang Li
Miao Qi
Dahong Xu
Jun Kong
Jianzhong Wang
14
3
0
14 Jan 2021
Retinex-inspired Unrolling with Cooperative Prior Architecture Search
  for Low-light Image Enhancement
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
Risheng Liu
Long Ma
Jiaao Zhang
Xin-Yue Fan
Zhongxuan Luo
38
568
0
10 Dec 2020
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attribution Maps
Jinjin Gu
Chao Dong
FAtt
SupR
18
210
0
22 Nov 2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kaicheng Zhang
Martin Danelljan
Yawei Li
Radu Timofte
Jie Liu
...
Wenhao Wang
Zhenbing Liu
Rushi Lan
Rao Muhammad Umer
C. Micheloni
SupR
31
88
0
15 Sep 2020
Lightweight Image Super-Resolution with Information Multi-distillation
  Network
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
71
867
0
26 Sep 2019
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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