by Yunqi Miao*, Alexandros Lattas*, Jiankang Deng, Jungong Han, and Stefanos Zafeiriou.
For more information, please check our
đź”” We are happy to announce that this work was accepted at NeurIPS22.
If you find this project useful in your research, please consider citing:
@article{miao2022physically,
title={Physically-Based Face Rendering for NIR-VIS Face Recognition},
author={Miao, Yunqi and Lattas, Alexandros and Deng, Jiankang and Han, Jungong and Zafeiriou, Stefanos},
journal={arXiv preprint arXiv:2211.06408},
year={2022}
}
For this project, we used python 3.7.10.
sh run.sh
- Downloading data (112 x 112) from [Google drive]
- Put data to
data/$dataset_name
- Put data to
Note that: casia(fold_1) is provided for research purposes only. For the rest data, please refer to the original publications.
- Downloading models from [Google drive]
- Put pretrain model at
models/pretrain/
- Put finetune model at
models/finetune/$dataset/
- Put pretrain model at
sh eval.sh