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Optical Flow Reusing for High-Efficiency Space-Time Video Super
  Resolution

Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution

13 October 2021
Yuantong Zhang
Huairui Wang
Han Zhu
Zhenzhong Chen
    SupR
ArXivPDFHTML

Papers citing "Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution"

5 / 5 papers shown
Title
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Yi Xiao
Qiangqiang Yuan
Kui Jiang
Xianyu Jin
Jiang He
L. Zhang
Chia-Wen Lin
SupR
38
77
0
10 Apr 2023
Temporal Modulation Network for Controllable Space-Time Video
  Super-Resolution
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu
Jun Xu
Zhen Li
Liang Wang
Xing Sun
Ming-Ming Cheng
SupR
45
91
0
21 Apr 2021
MuCAN: Multi-Correspondence Aggregation Network for Video
  Super-Resolution
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li
Xin Tao
Taian Guo
Lu Qi
Jiangbo Lu
Jiaya Jia
SupR
126
135
0
23 Jul 2020
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
177
5,138
0
16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
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