AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Transform images from one style to another while keeping important details intact.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeAttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
AttentionGAN has 686 stars on GitHub. It has been forked 100 times. AttentionGAN is written mainly in Python. It has been in active development since 2019. Its main topics are adversarial-networks, attention-model, computer-vision, cyclegan.
What is AttentionGAN?
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Is AttentionGAN open source?
AttentionGAN is an open-source project.
Is AttentionGAN free?
Yes. AttentionGAN is free and open source — you can use, modify and self-host it.
What language is AttentionGAN written in?
AttentionGAN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ha0tang-attentiongan.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.