ZPdesu/Barbershop

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1439 stars · 272 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of Barbershop (SIGGRAPH Asia 2021), a GAN-inversion-based method for compositing images using segmentation masks, focused on hairstyle transfer between face photos. It blends features from multiple reference images in a latent space to produce coherent, realistic results.

Use cases

• transfer a hairstyle from one photo to another
• blend facial features from multiple images seamlessly
• composite face images using segmentation masks
• GAN inversion research on StyleGAN latent spaces
• generate realistic face images combining hair and identity references

When to choose

• you need research-grade hairstyle transfer with detail preservation like moles and wrinkles
• you want the official implementation of the SIGGRAPH Asia 2021 paper
• you are doing GAN-inversion or image-blending research

When to avoid

• you need a polished end-user photo editing app
• you lack a GPU or cannot set up a conda environment
• you need general-purpose image compositing beyond faces and hair

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing artificial-intelligence python gan stylegan gan-inversion image-compositing hairstyle-transfer segmentation-masks research-code face-blending linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ZPdesu/Barbershop")