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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]

Results1 Results2

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.

Description
An arbitrary face-swapping framework on images and videos with one single trained model!
Readme CC-BY-4.0 212 MiB
2021-11-23 03:06:36 +01:00
Languages
Python 81.6%
Jupyter Notebook 18.2%
Shell 0.2%