The Effect of Perceptual Loss for Video Super-Resolution
Author:
Affiliation:
1. Kharazmi University,Faculty of Engineering,Department of Electrical and Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9738652/9738548/09738742.pdf?arnumber=9738742
Reference15 articles.
1. Video super-resolution via bidirectional recurrent convolutional networks;huang,2017
2. Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
3. Real-time video super-resolution with spatio-temporal networks and motion compensation;caballero;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017
4. Perceptually Optimized Loss Function for Image Super-Resolution
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