chenxuanhong
74 lines
2.4 KiB
Markdown
74 lines
2.4 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, and 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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### To test the pretrained model
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```
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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/
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```
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--name refers to the SimSwap training logs name.
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## Pretrained model
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### Usage
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There are two archive files in the drive: **checkpoints.zip** and **arcface_checkpoint.tar**
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- **Copy the arcface_checkpoint.tar into ./arcface_model**
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- **Unzip checkpoints.zip, place it in the root dir ./**
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[[Google Drive]](https://dl.acm.org/doi/10.1145/3394171.3413630)
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[[Baidu Drive]](https://pan.baidu.com/s/1wFV11RVZMHqd-ky4YpLdcA) Password: ```jd2v```
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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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```
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## Related Projects
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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). |