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StyleFusion: Disentangling Spatial Segments in StyleGAN-generated Images
SessionTechnical Papers
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Technical Paper
Research & Education
Virtual
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DescriptionWe present StyleFusion, a new mapping network for learning a semantically aware disentangled representation of images. StyleFusion allows users to fuse a set of input latent codes into a single unified image in which each semantic region is controlled by one of the input latent codes, providing greater flexibility in the synthesis process.
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