andrerochow / fsrt

Official implementation of the CVPR 2024 paper "FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features"

FSRT: Facial Scene Representation Transformer for Face Reenactment (CVPR 2024)

Official GitHub repository for FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features (accepted to CVPR 2024) by Andre Rochow, Max Schwarz, and Sven Behnke.

[Paper]   [Project Page]

Source code will be released soon!

Example Animations

The animated sequences (bottom row) are generated by transferring the motion extracted from the driving video (left) to the person in the source image (top row).

VoxCeleb Dataset

The source images and driving videos are selected from the official VoxCeleb test set. We demonstrate both animation modes, absolute and relative motion transfer, supported by our method.

Absolute Motion Transfer

vox_abs.mp4

Relative Motion Transfer

vox_rel.mp4

BibTeX

@inproceedings{rochow2024fsrt,
  title={{FSRT}: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features},
  author={Rochow, Andre and Schwarz, Max and Behnke, Sven},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2024}
}

fsrt's Issues

When the code will released.