
Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022) Paper | Project Page | Video

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ย โ๏ธ CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces. ๐ Try CodeFormer for improved stable-diffusion generation!
If CodeFormer is helpful, please help to โญ the [Github Repo]. Thanks!

๐ 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.
๐ 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}
}