/fastswap

Official Implementation of FastSwap (WACV 2023)

MIT LicenseMIT

FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping (WACV 2023)

Paper | Project Page | Video

paper demo visitors

AI Research, KLleon

RIT-Lab, KAIST (Korea Advanced Institute of Science and Technology)

Real-Time Face Swapping

Architecture of FastSwap

Face Swapping Results of FastSwap

Dependencies and Installation

  • Pytorch >= 1.2.1
  • CUDA >= 10.0

🤗 Code will be released soon..

⭐ If FastSwap is helpful to your projects, please help star this repo. Thanks!