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What does it look like, compared to the alternatives?
Even without optical-flow or other temporal components, our method can tackle complex scenes with motion that destabilizes the state-of-the-art.
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+Young
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Our method can be applied not only to real videos, but also to animated media!
Our method extends beyond human faces; We demonstrate editing a video of a dog (Using an AFHQ-based generator).
Additional Examples
Editing a video with camera movement
We are able to use our method to perform non constant edits to videos
BibTeX
If you find our work useful, please cite our paper:
@misc{tzaban2022stitch,
title={Stitch it in Time: GAN-Based Facial Editing of Real Videos},
author={Rotem Tzaban and Ron Mokady and Rinon Gal and Amit H. Bermano and Daniel Cohen-Or},
year={2022},
eprint={2201.08361},
archivePrefix={arXiv},
primaryClass={cs.CV}
}