Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Blend high-resolution images realistically using the GP-GAN algorithm for advanced image processing.
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 anytimeOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
GP-GAN has 472 stars on GitHub. It has been forked 93 times. GP-GAN is written mainly in Python. It has been in active development since 2017. GP-GAN is available under the MIT license. Its main topics are artificial-intelligence, chainer, computer-graphics, computer-vision.
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
GP-GAN is an open-source project. It is released under the MIT license.
Yes. GP-GAN is free and open source — you can use, modify and self-host it.
GP-GAN is available under the MIT license.
GP-GAN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/wuhuikai-gp-gan.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.