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# SimSwap: An Efficient Framework For High Fidelity Face Swapping
## Proceedings of the 28th ACM International Conference on Multimedia
**The official repository with Pytorch**
[[Conference paper]](https://dl.acm.org/doi/10.1145/3394171.3413630)
## Results
![Results1](/doc/img/results1.PNG)
## Video
## Dependencies
## Usage
Use python3.5, pytorch1.3.0
Use this command to test the face swapping between two images:
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/
--name refers to the checkpoint name.
## To cite our paper
```
@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}
}
```