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#### The training codes are in :rocket: [BasicSR](https://github.com/xinntao/BasicSR). This repo only provides simple testing codes, pretrained models and the network interpolation demo.
BasicSR is an **open source** image and video super-resolution toolbox based on PyTorch (will extend to more restoration tasks in the future). <br>
It includes methods such as EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. It now also supports StyleGAN2.
[BasicSR](https://github.com/xinntao/BasicSR) is an **open source** image and video super-resolution toolbox based on PyTorch (will extend to more restoration tasks in the future). <br>
It includes methods such as **EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR**, etc. It now also supports **StyleGAN2**.
### 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), [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/), [Chen Change Loy](http://personal.ie.cuhk.edu.hk/~ccloy/)