yuval-alaluf/hyperstyle

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1027 stars · 119 forks observed · 2026-08-28

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

Official PyTorch implementation of HyperStyle (CVPR 2022), a hypernetwork that inverts real images into editable regions of StyleGAN's latent space by modulating the generator's weights. It achieves optimization-quality reconstructions with near real-time encoder inference and supports downstream image editing applications.

Use cases

• invert real face photos into StyleGAN latent space
• edit real images with GAN latent directions
• reconstruct images with high fidelity and editability
• edit out-of-domain images via domain adaptation
• generate face animations from a single image
• run StyleGAN inversion experiments for research

When to choose

• you need fast, editable StyleGAN inversions of real images
• you want a research-grade reference implementation of a CVPR 2022 inversion method
• you need to edit faces or adapt the model to new domains

When to avoid

• you need a production-ready, maintained product with support
• you work with non-face imagery without retraining
• you lack a GPU or PyTorch environment
• you need text-to-image generation rather than inversion of existing images

Facets

library · maturity maintenance

machine-learning image-processing deep-learning computer-vision image-processing deep-learning artificial-intelligence python stylegan gan-inversion hypernetworks image-editing cvpr2022 research-code gpu

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