Domain Specific Mappings for Generative Adversarial Style Transfer

Image-to-image translation approaches with disentangled representations have been shown effective for style transfer between two image categories… However, previous methods often assume a shared domain-invariant content space, which could compromise the content representation power . The proposed method outperforms previous style transfer methods, particularly on challenging scenarios that would require semantic correspondences between images . Code and results are available at https://acht7111020.github.io/DSMAP-demo/. The paper leverages domain-specific mappings for remapping latent features in the shared content space .

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Keywords : content - style - domain - transfer - image -

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