NVlabs/FUNIT

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1586 stars · 237 forks observed · 2026-08-28

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

FUNIT is NVIDIA's PyTorch implementation of a few-shot unsupervised image-to-image translation model (ICCV 2019) that can translate images to unseen target domains specified by only a few example images at test time. It includes training and inference code plus an Animal Face dataset built from ImageNet crops.

Use cases

• translate images to unseen domains with a few example images
• few-shot image-to-image translation with GANs
• reproduce FUNIT ICCV 2019 paper results
• train an image translation model on animal face datasets
• swap visual styles of animal species in photos

When to choose

• you need few-shot image-to-image translation research code
• you want a reference PyTorch implementation of the FUNIT paper
• you have multi-GPU hardware for training GAN models

When to avoid

• you need a commercially licensed model - code is CC BY-NC-SA 4.0, research only
• you lack high-end GPUs (paper results need 8x V100)
• you need actively maintained production software

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python gan image-to-image-translation few-shot-learning pytorch research-code non-commercial-license linux gpu

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