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GFPGAN (CVPR 2021)

English | 简体中文

[Paper] | [Project Page]

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, Yu Li, Honglun Zhang, Ying Shan 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}
}


🔧 Dependencies and Installation

Installation

  1. Clone repo

    git clone https://github.com/xinntao/GFPGAN.git
    
  2. Install dependent packages

    cd GFPGAN
    pip install -r requirements.txt
    

Quick Inference

python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs

📜 License and Acknowledgement

TODO

📧 Contact

If you have any question, please email xintao.wang@outlook.com or xintaowang@tencent.com.

Description
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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