# 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 [[Conference paper]](https://dl.acm.org/doi/10.1145/3394171.3413630) ## Results ![Results1](/doc/img/results1.PNG) ![Results2](/doc/img/total.PNG) ## Video **High-quality videos can be found in the link below:** [[Baidu Drive link for video]](https://pan.baidu.com/s/1WTS6jm2TY17bYJurw57LUg ) Password: ```b26n``` ## Dependencies - python3.6+ - pytorch1.5+ - torchvision - opencv - pillow - numpy ## Usage ### To test the pretrained model ``` 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. ## Pretrained model ### Usage 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 ./** [[Google Drive]](https://dl.acm.org/doi/10.1145/3394171.3413630) [[Baidu Drive]](https://pan.baidu.com/s/1wFV11RVZMHqd-ky4YpLdcA) Password: ```jd2v``` ## 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} } ``` ## Related Projects Learn about our other projects [[RainNet]](https://neuralchen.github.io/RainNet), [[Sketch Generation]](https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale), [[CooGAN]](https://github.com/neuralchen/CooGAN), [[Knowledge Style Transfer]](https://github.com/AceSix/Knowledge_Transfer), [[SimSwap]](https://github.com/neuralchen/SimSwap).