The official repository with Pytorch
Currently, only the test code is available, and training scripts are coming soon
[Baidu Drive Paper link] Password: ummt
High-quality videos can be found in the link below:
[Google Drive link for video 1]
[Google Drive link for video 2]
[Google Drive link for video 3]
[Baidu Drive link for video] Password: b26n
- python3.6+
- pytorch1.5+
- torchvision
- opencv
- pillow
- numpy
python test_one_image.py --isTrain false --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path crop_224/6.jpg --pic_b_path crop_224/ds.jpg --output_path output/
--name refers to the SimSwap training logs name.
There are two archive files in the drive: checkpoints.zip and arcface_checkpoint.tar
- Copy the arcface_checkpoint.tar into ./arcface_model
- Unzip checkpoints.zip, place it in the root dir ./
[Baidu Drive] Password: jd2v
@inproceedings{DBLP:conf/mm/ChenCNG20,
author = {Renwang Chen and
Xuanhong Chen and
Bingbing Ni and
Yanhao Ge},
title = {SimSwap: An Efficient Framework For High Fidelity Face Swapping},
booktitle = {{MM} '20: The 28th {ACM} International Conference on Multimedia},
pages = {2003--2011},
publisher = {{ACM}},
year = {2020},
url = {https://doi.org/10.1145/3394171.3413630},
doi = {10.1145/3394171.3413630},
timestamp = {Thu, 15 Oct 2020 16:32:08 +0200},
biburl = {https://dblp.org/rec/conf/mm/ChenCNG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Please visit our another ACMMM2020 high-quality style transfer project
Learn about our other projects [RainNet];