Please follow this github to prepare the environments and dataset.
training (please modify --dataroot
, --name
):
sh train_distan.sh
testing (please modify --dataroot
, --name
, --which_epoch
, and --checkpoing_dir
):
sh test_distan.sh
If you find this repo helpful, please consider citing:
@inproceedings{he2021dlfs,
title={Disentangled Lifespan Face Synthesis},
author={He, Sen and Liao, Wentong and Yang, Michael and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao},
booktitle={ICCV},
year={2021}
}
This repository is based on LFS.