yunjey/stargan
A PyTorch implementation of StarGAN, a unified GAN for multi-domain image-to-image translation published at CVPR 2018.
Not currently ranked — collecting fresh signals.
star history
This repository provides the official implementation of the StarGAN paper, a generative adversarial network for multi-domain image-to-image translation. Unlike prior approaches requiring separate models for each domain pair, StarGAN uses a single unified model to translate images across arbitrary domains. The model is trained to perform tasks such as facial attribute transfer and expression synthesis using PyTorch.
Frequently asked
- What is yunjey/stargan?
- A PyTorch implementation of StarGAN, a unified GAN for multi-domain image-to-image translation published at CVPR 2018.
- Is stargan open source?
- Yes — yunjey/stargan is open source, released under the MIT license.
- What language is stargan written in?
- yunjey/stargan is primarily written in Python.
- How popular is stargan?
- yunjey/stargan has 5.3k stars on GitHub.
- Where can I find stargan?
- yunjey/stargan is on GitHub at https://github.com/yunjey/stargan.