To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First
- 6 October 2018
- book chapter
- Published by Springer Nature
- p. 187-202
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This publication has 32 references indexed in Scilit:
- Zero-Shot Super-Resolution Using Deep Internal Learning2018
- NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results2018
- Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks2017
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network2017
- Image Super-Resolution via Deep Recursive Residual Network2017
- Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution2017
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution2016
- Accurate Image Super-Resolution Using Very Deep Convolutional Networks2016
- WIDER FACE: A Face Detection Benchmark2016
- Image Super-Resolution Using Deep Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015