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# ESRGAN (Enhanced SRGAN) [[Paper]](https://arxiv.org/abs/1809.00219) [[BasicSR]](https://github.com/xinntao/BasicSR)
## ESRGAN (Enhanced SRGAN) [[BasicSR]](https://github.com/xinntao/BasicSR) [[EDVR]](https://github.com/xinntao/EDVR) [[DNI]](https://xinntao.github.io/projects/DNI)
### :smiley: Training codes are in [BasicSR](https://github.com/xinntao/BasicSR) repo.
We have simplified the network structure file.<br/>
You can convert the previously save models (`*.pth`) with the script `transer_RRDB_models.py`;<br/>
If you want to use the old arch, you can find it [here](https://github.com/xinntao/ESRGAN/releases/tag/old-arch).
---
Check out our new work on:<br/>
1. **Video Super-Resolution**: [`EDVR: Video Restoration with Enhanced Deformable Convolutional Networks`](https://xinntao.github.io/projects/EDVR), which has won all four tracks in NTIRE 2019 Challenges on Video Restoration and Enhancement (CVPR19 Workshops).
2. **DNI (CVPR19)**: [`Deep Network Interpolation for Continuous Imagery Effect Transition`](https://xinntao.github.io/projects/DNI)
---
### 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/)
This repo only provides simple testing codes, pretrained models and the network strategy demo.
### **For full training and testing codes, please refer to [BasicSR](https://github.com/xinntao/BasicSR).**
This repo only provides simple testing codes, pretrained models and the network strategy demo. For full training and testing codes, please refer to [BasicSR](https://github.com/xinntao/BasicSR).
We won the first place in [PIRM2018-SR competition](https://www.pirm2018.org/PIRM-SR.html) (region 3) and got the best perceptual index.
The paper is accepted to [ECCV2018 PIRM Workshop](https://pirm2018.org/).
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## Quick Test
#### Dependencies
- Python 3
- [PyTorch >= 0.4](https://pytorch.org/) (CUDA version >= 7.5 if installing with CUDA. [More details](https://pytorch.org/get-started/previous-versions/))
- [PyTorch >= 1.0](https://pytorch.org/) (CUDA version >= 7.5 if installing with CUDA. [More details](https://pytorch.org/get-started/previous-versions/))
- Python packages: `pip install numpy opencv-python`
### Test models