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README.md
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# GFPGAN
# GFPGAN (CVPR 2021)
[English](README.md) **|** [简体中文](README_CN.md)
[[Paper]](https://arxiv.org/abs/2101.04061) **|** [[Project Page]](https://xinntao.github.io/projects/gfpgan)
GFPGAN is a blind face restoration algorithm towards real-world face images.
> **GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior**
> [Xintao Wang](https://xinntao.github.io/), [Yu Li](https://yu-li.github.io/), [Honglun Zhang](https://scholar.google.com/citations?hl=en&user=KjQLROoAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)
> Applied Research Center (ARC), Tencent PCG
#### BibTeX
@InProceedings{wang2021gfpgan,
author = {Xintao Wang and Yu Li and Honglun Zhang and Ying Shan},
title = {Towards Real-World Blind Face Restoration with Generative Facial Prior},
booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021}
}
<p align="center">
<img src="https://xinntao.github.io/projects/GFPGAN_src/gfpgan_teaser.jpg">
</p>
---
## :wrench: Dependencies and Installation
- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
- [PyTorch >= 1.7](https://pytorch.org/)
- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
### Installation
1. Clone repo
```bash
git clone https://github.com/xinntao/GFPGAN.git
```
1. Install dependent packages
```bash
cd GFPGAN
pip install -r requirements.txt
```
## :zap: Quick Inference
> python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs
## :scroll: License and Acknowledgement
TODO
## :e-mail: Contact
If you have any question, please email `xintao.wang@outlook.com` or `xintaowang@tencent.com`.

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README_CN.md
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# GFPGAN
# GFPGAN (CVPR 2021)
[English](README.md) **|** [简体中文](README_CN.md)
[[Paper]](https://arxiv.org/abs/2101.04061) **|** [[Project Page]](https://xinntao.github.io/projects/gfpgan)
GFPGAN is a blind face restoration algorithm towards real-world face images.
> **GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior**
> [Xintao Wang](https://xinntao.github.io/), [Yu Li](https://yu-li.github.io/), [Honglun Zhang](https://scholar.google.com/citations?hl=en&user=KjQLROoAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)
> Applied Research Center (ARC), Tencent PCG
#### BibTeX
@InProceedings{wang2021gfpgan,
author = {Xintao Wang and Yu Li and Honglun Zhang and Ying Shan},
title = {Towards Real-World Blind Face Restoration with Generative Facial Prior},
booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021}
}
<p align="center">
<img src="https://xinntao.github.io/projects/GFPGAN_src/gfpgan_teaser.jpg">
</p>
---
## :wrench: Dependencies and Installation
- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
- [PyTorch >= 1.7](https://pytorch.org/)
- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
### Installation
1. Clone repo
```bash
git clone https://github.com/xinntao/GFPGAN.git
```
1. Install dependent packages
```bash
cd GFPGAN
pip install -r requirements.txt
```
## :zap: Quick Inference
> python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs
## :scroll: License and Acknowledgement
TODO
## :e-mail: Contact
If you have any question, please email `xintao.wang@outlook.com` or `xintaowang@tencent.com`.