Repository for "WaveFace: Authentic Face Restoration with Efficient Frequency Recovery" by Yunqi Miao, Jiankang Deng, and Jungong Han.
🔔 We are happy to announce that this work was accepted at CVPR 2024.
For more information, please check:
We release our synthetic testing dataset (CelebA_LQ_syn) and restoration results of CelebA-Test, LFW-Test, Wider-Test, WebPhoto-Test (ours).
Also, we provide data(CelebA_LQ_realesrgan_syn) & restoration results(Ours_RESR) of a synthetic dataset with RealESRGAN degradation.
If you find this project useful in your research, please consider citing:
@article{miao2024waveface,
title={WaveFace: Authentic Face Restoration with Efficient Frequency Recovery},
author={Miao, Yunqi and Deng, Jiankang and Han, Jungong},
journal={arXiv preprint arXiv:2403.12760},
year={2024}
}