Home Projects vision-aided-gan
vision-aided-gan
Python

vision-aided-gan

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

by nupurkmr9 · GitHub
Stars
Forks
License
Created
Last commit
Language
computer-graphicscomputer-visiongansMITPython
View on GitHub
In plain words

Enhance GAN training by combining multiple pretrained models to generate better images.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
vision-aided-gan — GitHub preview card
📈 Star history
421420
2026-07-202026-08-31
📈 Track vision-aided-gan

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

vision-aided-gan has 420 stars on GitHub. It has been forked 32 times. vision-aided-gan is written mainly in Python. It has been in active development since 2021. vision-aided-gan is available under the MIT license. Its main topics are computer-graphics, computer-vision, gans, generative-adversarial-network.

Frequently asked questions

What is vision-aided-gan?

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

Is vision-aided-gan open source?

vision-aided-gan is an open-source project. It is released under the MIT license.

Is vision-aided-gan free?

Yes. vision-aided-gan is free and open source — you can use, modify and self-host it.

What license does vision-aided-gan use?

vision-aided-gan is available under the MIT license.

What language is vision-aided-gan written in?

vision-aided-gan is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — vision-aided-gan

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=nupurkmr9-vision-aided-gan)](https://olud.ai/project/nupurkmr9-vision-aided-gan.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.