SimSwap is an academic face-swapping system published at ACM MM 2020 that uses a single trained model to perform arbitrary identity transfer between faces in images and video. Built with PyTorch, it employs GAN-based image manipulation techniques to achieve high-fidelity face swapping. The project includes training code, inference scripts, and supports high-resolution variants (SimSwap-HQ).