ZPdesu/Barbershop
GAN-based system for seamless hairstyle transfer and image blending using segmentation masks and latent-space manipulation.
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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.
Frequently asked
- What is ZPdesu/Barbershop?
- GAN-based system for seamless hairstyle transfer and image blending using segmentation masks and latent-space manipulation.
- Is Barbershop open source?
- Yes — ZPdesu/Barbershop is open source, released under the MIT license.
- What language is Barbershop written in?
- ZPdesu/Barbershop is primarily written in Python.
- How popular is Barbershop?
- ZPdesu/Barbershop has 1.4k stars on GitHub.
- Where can I find Barbershop?
- ZPdesu/Barbershop is on GitHub at https://github.com/ZPdesu/Barbershop.