MobileFaceSwap: A Lightweight Framework for Video Face Swapping (AAAI 2022)
Dependencies
- paddlepaddle==2.1.2
- insightface==0.2.1
- opencv
- numpy
Getting Started
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The pretrained models can be downloaded from Baidu Drive (passward:f6wu) or Google Drive.
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Run the codes as follows for image or video tests.
python image_test.py --target_img_path data/xxx.png --source_img_path data/xxx.png --output_dir results --use_gpu True
python video_test.py --target_video_path data/xxx.mp4 --source_img_path data/xxx.png --output_dir results --use_gpu True
Results
Citation
@inproceedings{xu2022MobileFaceSwap,
title={MobileFaceSwap: A Lightweight Framework for Video Face Swapping},
author={Xu, Zhiliang and Hong, Zhibin and Ding, Changxing and Zhu, Zhen and Han, Junyu and Liu, Jingtuo and Ding, Errui},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2022}
}