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