yuval-alaluf/restyle-encoder

Health v2 · maintenance only

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Adoption not part of the score

1046 stars · 151 forks observed · 2026-08-28

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

Official PyTorch implementation of ReStyle, a residual-based StyleGAN encoder that inverts real images into GAN latent codes via iterative refinement (ICCV 2021). It includes training and inference code for face, church, and horse domains.

Use cases

• invert real images into StyleGAN latent codes
• edit real photos using GAN latent space manipulation
• train a residual-based StyleGAN encoder on a new domain
• reproduce ReStyle paper results
• generate intermediate inversion animations
• compare GAN inversion methods

When to choose

• you need accurate encoder-based StyleGAN inversion with minimal inference overhead
• you want to edit real images through pretrained StyleGAN latent spaces
• you are researching GAN inversion and want a reference implementation

When to avoid

• you need a production-ready image editing application
• you have no GPU or PyTorch experience
• you want inversion for domains without pretrained StyleGAN models

Facets

library · maturity maintenance

machine-learning image-processing deep-learning machine-learning computer-vision image-processing python stylegan gan-inversion image-encoding research-code iccv-2021 gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yuval-alaluf/restyle-encoder")