~Towards Robust Blind Face Restoration with Codebook Lookup Transformer~ (NeurIPS 2022) ~Paper~ | ~Project Page~ | ~Video~ 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. 🚀 Try CodeFormer for improved stable-diffusion generation! 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. Note that Replicate API of CodeFormer cannot be used commercially. 📝 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} }