Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
Author:
Affiliation:
1. School of Computing,KAIST
2. Mechanical Engineering,KAIST,Daejeon,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030311.pdf?arnumber=10030311
Reference33 articles.
1. Spatio-temporal transformer network for video restoration;kim;Proceedings of the European Conference on Computer Vision (ECCV),2018
2. Robust Reference-based Super-Resolution via C2-Matching
3. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
4. Adam: A method for stochastic optimization;kingma,2014
5. EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation
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