GFPGAN (CVPR 2021)

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[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}
}

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🔧 Dependencies and Installation

• Python >= 3.7 (Recommend to use Anaconda or Miniconda)
• PyTorch >= 1.7
• NVIDIA GPU + CUDA

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 [email protected] or [email protected].