ConSinGAN
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Generate new images based on a single photo using advanced techniques for training image models.
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 anytimePyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
ConSinGAN has 444 stars on GitHub. It has been forked 77 times. ConSinGAN is written mainly in Python. It has been in active development since 2020. ConSinGAN is available under the MIT license. Its main topics are consingan, gan, harmonization, image.
What is ConSinGAN?
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Is ConSinGAN open source?
ConSinGAN is an open-source project. It is released under the MIT license.
Is ConSinGAN free?
Yes. ConSinGAN is free and open source — you can use, modify and self-host it.
What license does ConSinGAN use?
ConSinGAN is available under the MIT license.
What language is ConSinGAN written in?
ConSinGAN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/tohinz-consingan.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.