chenxuanhong
64 lines
1.8 KiB
Markdown
64 lines
1.8 KiB
Markdown
# SimSwap: An Efficient Framework For High Fidelity Face Swapping
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## Proceedings of the 28th ACM International Conference on Multimedia
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**The official repository with Pytorch**
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Currently only the test code is available, training scripts are coming soon
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[[Conference paper]](https://dl.acm.org/doi/10.1145/3394171.3413630)
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## Results
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## Video
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<img src="./doc/img/video.webp"/>
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**High-quality videos can be found in the link below:**
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[[Baidu Drive link for video]](https://pan.baidu.com/s/1WTS6jm2TY17bYJurw57LUg ) Password: ```b26n```
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## Dependencies
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- python3.6+
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- pytorch1.5+
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- torchvision
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- opencv
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- pillow
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- numpy
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## Usage
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Use python3.5, pytorch1.3.0
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Use this command to test the face swapping between two images:
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python test_one_image.py --isTrain false --name people --Arc_path models/BEST_checkpoint.tar --pic_a_path crop_224/mars.jpg --pic_b_path crop_224/ds.jpg --output_path output/
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--name refers to the checkpoint name.
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## Pretrained model
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[[Google Drive]](https://dl.acm.org/doi/10.1145/3394171.3413630)
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[[Baidu Drive]](https://dl.acm.org/doi/10.1145/3394171.3413630)
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## To cite our paper
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```
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@inproceedings{DBLP:conf/mm/ChenCNG20,
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author = {Renwang Chen and
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Xuanhong Chen and
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Bingbing Ni and
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Yanhao Ge},
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title = {SimSwap: An Efficient Framework For High Fidelity Face Swapping},
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booktitle = {{MM} '20: The 28th {ACM} International Conference on Multimedia},
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pages = {2003--2011},
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publisher = {{ACM}},
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year = {2020},
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url = {https://doi.org/10.1145/3394171.3413630},
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doi = {10.1145/3394171.3413630},
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timestamp = {Thu, 15 Oct 2020 16:32:08 +0200},
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biburl = {https://dblp.org/rec/conf/mm/ChenCNG20.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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``` |