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# ESRGAN (Enhanced SRGAN) [[Paper]](https://arxiv.org/abs/1809.00219) [[BasicSR]](https://github.com/xinntao/BasicSR)
## :smiley: Training codes are in [BasicSR](https://github.com/xinntao/BasicSR) repo.
### Enhanced Super-Resolution Generative Adversarial Networks
By Xintao Wang, [Ke Yu](https://yuke93.github.io/), Shixiang Wu, [Jinjin Gu](http://www.jasongt.com/), Yihao Liu, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ&hl=en), [Chen Change Loy](http://personal.ie.cuhk.edu.hk/~ccloy/), [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/), [Xiaoou Tang](https://scholar.google.com/citations?user=qpBtpGsAAAAJ&hl=en)
By Xintao Wang, [Ke Yu](https://yuke93.github.io/), Shixiang Wu, [Jinjin Gu](http://www.jasongt.com/), Yihao Liu, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ&hl=en), [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/), [Chen Change Loy](http://personal.ie.cuhk.edu.hk/~ccloy/)
This repo only provides simple testing codes, pretrained models and the network strategy demo.
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year={2018}
}
-->
@InProceedings{wang2018esrgan,
@InProceedings{wang2018esrgan,
author = {Wang, Xintao and Yu, Ke and Wu, Shixiang and Gu, Jinjin and Liu, Yihao and Dong, Chao and Qiao, Yu and Loy, Chen Change},
title = {ESRGAN: Enhanced super-resolution generative adversarial networks},
booktitle = {The European Conference on Computer Vision Workshops (ECCVW)},