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Exemplar-based Generative Facial Editing
Image synthesis has witnessed substantial progress due to the increasing power of generative model.
MulGAN: Facial Attribute Editing by Exemplar
These methods encode attribute-related information in images into the predefined region of the latent feature space by employing a pair of images with opposite attributes as input to train model, the face attribute transfer between the input image and the exemplar can be achieved by exchanging their attribute-related latent feature region.
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