CodeFormer: Robust Face Restoration and Enhancement Network
Official Gradio demo for Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)
🔥 CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
🤗 Try CodeFormer for improved stable-diffusion generation!
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Examples
| Input | Pre_Face_Align | Background_Enhance | Face_Upsample | Rescaling_Factor (up to 4) | Codeformer_Fidelity (0 for better quality, 1 for better identity) |
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If CodeFormer is helpful, please help to ⭐ the Github Repo. Thanks!
📝 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}
}
📋 License
This project is licensed under S-Lab License 1.0. Redistribution and use for non-commercial purposes should follow this license.
📧 Contact
If you have any questions, please feel free to reach me out at shangchenzhou@gmail.com.
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