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Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)
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Note that this web demo is for research purposes! If you want to use our CodeFormer for permanent free, you can run the [Github Code] locally or try out [Colab Demo] instead.

 
☕️ CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
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If CodeFormer is helpful, please help to ⭐ the [Github Repo]. Thanks!

📋 License
This project is licensed under S-Lab License 1.0. Redistribution and use for non-commercial purposes should follow this license.

📝 Citation
If our work is useful for your research, please consider citing:

@inproceedings{zhou2022codeformer,
    author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},
    title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},
    booktitle = {NeurIPS},
    year = {2022}
}