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GFPGAN (CVPR 2021)
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
- Python >= 3.7 (Recommend to use Anaconda or Miniconda)
- PyTorch >= 1.7
- NVIDIA GPU + CUDA
Installation
-
Clone repo
git clone https://github.com/xinntao/GFPGAN.git
-
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.
Readme
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Languages
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