clovaai/stargan-v2
A PyTorch implementation of StarGAN v2 for diverse image-to-image translation across multiple visual domains.
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StarGAN v2 is a generative adversarial network that synthesizes diverse images across multiple visual domains from a single model. It learns bidirectional mappings between different style domains and produces varied outputs for the same input by sampling different latent codes. The official implementation includes pre-trained models and the AFHQ dataset for evaluation.
Frequently asked
- What is clovaai/stargan-v2?
- A PyTorch implementation of StarGAN v2 for diverse image-to-image translation across multiple visual domains.
- Is stargan-v2 open source?
- Yes — clovaai/stargan-v2 is an open-source project tracked on heatdrop.
- What language is stargan-v2 written in?
- clovaai/stargan-v2 is primarily written in Python.
- How popular is stargan-v2?
- clovaai/stargan-v2 has 3.6k stars on GitHub.
- Where can I find stargan-v2?
- clovaai/stargan-v2 is on GitHub at https://github.com/clovaai/stargan-v2.