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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**
Currently, only the test code is available, and training scripts are coming soon
Our method can realize arbitrary face swapping on images and videos with one single trained model.
Currently, only the test code is available. Training scripts are coming soon
[![simswaplogo](/doc/img/logo1.png)](https://github.com/neuralchen/SimSwap)
[[Arxiv paper]](https://arxiv.org/pdf/2106.06340v1.pdf)
[[ACM DOI paper]](https://dl.acm.org/doi/10.1145/3394171.3413630)
[[Google Drive Paper link]](https://drive.google.com/file/d/1fcfWOGt1mkBo7F0gXVKitf8GJMAXQxZD/view?usp=sharing)
[[Baidu Drive Paper link]](https://pan.baidu.com/s/1-TKFuycRNUKut8hn4IimvA) Password: ```ummt```
Our paper can be downloaded from [[Arxiv]](https://arxiv.org/pdf/2106.06340v1.pdf)
<!-- [[ACM DOI]](https://dl.acm.org/doi/10.1145/3394171.3413630)
[[Google Drive]](https://drive.google.com/file/d/1fcfWOGt1mkBo7F0gXVKitf8GJMAXQxZD/view?usp=sharing)
[[Baidu Drive ]](https://pan.baidu.com/s/1-TKFuycRNUKut8hn4IimvA) Password: ```ummt``` -->
## Top News
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## Usage
[Preparation](./doc/guidance/preparation.md)
[Simple Usage](./doc/guidance/usage.md)
[Inference](./doc/guidance/usage.md)
## Results
![Results1](/doc/img/results1.PNG)
Training: **coming soon**
![Results2](/doc/img/total.PNG)
## Video
<img src="./doc/img/video.webp"/>
<div>
<img width=24% src="./doc/img/anni.webp"/>
<img width=24% src="./doc/img/chenglong.webp"/>
<img width=24% src="./doc/img/zhoujielun.webp"/>
<img width=24% src="./doc/img/zhuyin.webp"/>
</div>
## Results
![Results1](/doc/img/results1.PNG)
![Results2](/doc/img/total.PNG)
<!-- ![video2](/doc/img/anni.webp)
![video3](/doc/img/chenglong.webp)
![video4](/doc/img/zhoujielun.webp)