taki0112/UGATIT

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

6116 stars · 1012 forks observed · 2026-08-28

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

Official TensorFlow implementation of U-GAT-IT, an unsupervised image-to-image translation model using attention modules and adaptive layer-instance normalization (ICLR 2020). It includes training scripts, pretrained selfie2anime checkpoints, and dataset tooling.

Use cases

• convert selfies into anime-style portraits
• train an unsupervised image-to-image translation model
• experiment with attention-based GANs
• reproduce U-GAT-IT paper results
• translate images between two visual domains without paired data

When to choose

• you need unsupervised domain-to-domain image translation with large shape changes
• you want to reproduce or build on the U-GAT-IT paper
• you want the selfie2anime effect with provided checkpoints

When to avoid

• you need modern maintained tooling - it requires TensorFlow 1.14 and Python 3.6
• you need paired image translation or production-ready inference services
• you prefer PyTorch - use the official PyTorch implementation instead

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision deep-learning computer-vision image-processing artificial-intelligence python gan image-to-image-translation tensorflow attention selfie2anime research-code iclr-2020 gpu

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