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[P] Can a Generative Adversarial Network (GAN) learn to create new and weird icons?

Hey folks,

I have been working on a customizable implementation of vanilla DC GAN. I scrapped icons dataset across the internet. Then converted those icons to MNIST like images and trained GAN. Here is link to my project.

https://github.com/NaxAlpha/xgan

And the follow up blog post:

https://medium.com/@NaxAlpha/this-icon-does-not-exist-an-application-of-gans-to-icon-generation-5442f0f867a

During training, I tried different architectures and batch sizes. Some results were as following:

– network learned to create hand-drawn icons after ~70 epochs but generator failed after ~200 epochs

Do you guys have any suggestions to improve results?

Thanks

submitted by /u/NaxAlpha
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.