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. Different from conventional
variational methods, the proposed network represents the latent spaces individually for
faces and hairs. We refer to the proposed network as region-separative generative …