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Accelerating the Training of Video Super-Resolution Models

Accelerating the Training of Video Super-Resolution Models

10 May 2022
Lijian Lin
Xintao Wang
Zhongang Qi
Ying Shan
ArXivPDFHTML

Papers citing "Accelerating the Training of Video Super-Resolution Models"

3 / 3 papers shown
Title
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation
  and Alignment
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
Kelvin C. K. Chan
Shangchen Zhou
Xiangyu Xu
Chen Change Loy
149
389
0
27 Apr 2021
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
86
82
0
30 Mar 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
190
5,163
0
16 Sep 2016
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