eladrich/pixel2style2pixel

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3350 stars · 578 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official PyTorch implementation of pixel2style2pixel (pSp), a StyleGAN encoder from CVPR 2021 that maps real images directly into the W+ latent space of a pretrained StyleGAN generator. It supports image-to-image translation tasks such as StyleGAN inversion, facial frontalization, inpainting, super-resolution, and multi-modal conditional synthesis.

Use cases

• invert real face images into StyleGAN latent space
• perform facial frontalization on photos
• super-resolve low-resolution face images
• inpaint missing regions in facial images
• generate multi-modal conditional image synthesis from an input image
• train a custom StyleGAN encoder for a new image-to-image translation task

When to choose

• you need fast, optimization-free inversion of images into StyleGAN's W+ latent space
• you want a single framework for multiple facial image-to-image translation tasks
• you are reproducing or building on the pSp CVPR 2021 paper
• you want multi-modal synthesis via style resampling without training a GAN adversary

When to avoid

• you need a general-purpose image editing tool rather than a research codebase
• your task does not involve StyleGAN or face-domain image translation
• you need actively maintained code with recent updates or broad model support
• you lack a GPU, since training and inference are compute-intensive

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning machine-learning python cross-platform stylegan image-to-image-translation gan-inversion face-encoding generative-models research-code cvpr-2021 gpu

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