clovaai/stargan-v2

Health v2 · maintenance only

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Adoption not part of the score

3617 stars · 674 forks observed · 2026-08-28

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

The official PyTorch implementation of StarGAN v2, a CVPR 2020 paper on diverse image-to-image translation across multiple domains using a single generative framework. It includes training and evaluation code, pre-trained models, and the AFHQ animal faces dataset.

Use cases

• translate face images across attributes like hair color and gender
• generate diverse stylized versions of an input image
• convert animal face photos between cats, dogs, and wild species
• train a multi-domain image-to-image translation model
• benchmark generative image translation models
• download and use the AFHQ dataset for generative research

When to choose

• you need multi-domain image-to-image translation with diverse outputs in one model
• you want to reproduce or build on CVPR 2020 StarGAN v2 research
• you need a high-quality animal faces dataset for generative modeling

When to avoid

• you need a production-ready image editing service with support
• you lack a CUDA GPU, since training and inference are GPU-heavy
• you need the latest generative models such as diffusion-based translation

Facets

library · maturity maintenance

machine-learning image-processing deep-learning machine-learning computer-vision image-processing artificial-intelligence python image-to-image-translation generative-models gan pytorch cvpr-2020 style-transfer research-code gpu linux

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