albertpumarola/GANimation

Health v2 · maintenance only

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1985 stars · 401 forks observed · 2026-08-28

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

Official PyTorch implementation of GANimation, an ECCV'18 research paper that animates facial expressions in a single image using a GAN conditioned on Action Unit (AU) annotations. It allows continuous control over the magnitude of each facial muscle movement while preserving unrelated image regions.

Use cases

• animate facial expressions in a single photo
• change a face's expression with controllable intensity
• generate smiling versions of portrait images
• research GAN conditioning on facial action units
• reproduce ECCV 2018 GANimation paper results
• train a facial expression editing model on annotated datasets

When to choose

• you need anatomically-aware facial expression editing from one image
• you want continuous control over action unit activation magnitudes
• you are reproducing or extending the GANimation research
• you have OpenFace AU annotations for your training data

When to avoid

• you need a production-ready or actively maintained face editing tool
• you require support for recent PyTorch versions (code targets PyTorch 0.3.1)
• you want a simple pretrained model with no training setup
• your use case involves real-time video animation

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision image-processing deep-learning artificial-intelligence python gan facial-animation face-manipulation action-units pytorch research-code eccv-2018 generative-adversarial-network linux macos

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