FSGAN - Subject Agnostic Face Swapping and Reenactment

Yuval Nirkin
Yuval Nirkin
Yosi Keller
Yosi Keller

ICCV, pp. 7183-7192, 2019.

Cited by: 29|Bibtex|Views16|DOI:https://doi.org/10.1109/ICCV.2019.00728
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

We present Face Swapping GAN (FSGAN) for face swapping and reenactment. Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces without requiring training on those faces. To this end, we describe a number of technical contributions. We derive a novel recurrent neural network (RNN)-based approach for face ree...More

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