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Real-world Face Restoration
97,023 runs


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

It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration.

GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior

[Paper]   [Project Page]   [Demo]

Xintao Wang, Yu Li, Honglun Zhang, Ying Shan

Applied Research Center (ARC), Tencent PCG


    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}

:e-mail: Contact

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

Replicate Reproducible machine learning