RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces

10 Apr 2018Ryota NatsumeTatsuya YatagawaShigeo Morishima

In this paper, we present an integrated system for automatically generating and editing face images through face swapping, attribute-based editing, and random face parts synthesis. The proposed system is based on a deep neural network that variationally learns the face and hair regions with large-scale face image datasets... (read more)

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