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ZPdesu/Barbershop

GAN-based system for seamless hairstyle transfer and image blending using segmentation masks and latent-space manipulation.

1.4k stars Python Image · Video · Audio
Barbershop
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Barbershop is a SIGGRAPH Asia 2021 publication implementing a GAN-inversion approach for image compositing. It enables transferring visual properties including hair, facial features, and details like moles from multiple reference images into a coherent output. The method operates in latent space to preserve detail and spatial information while conforming to a common segmentation mask, avoiding blending artifacts typical of pixel-space approaches.

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