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