FSGAN: Subject Agnostic Face Swapping and Reenactment
2984700035, pp. 7184-7193, 2019.
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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