GAN for vector images

I am trying to figure out how to generate images using vector graphics instead of raster images like normal. I can not find any resources that seem to be handling a similar goal.

I have built a system that follows the Pix2Pix tutorial, but there is not a nice way to create derivatives. I have tried a brute force method (subtract before image from after image divided by parameters) and a more clever method using triangle areas, but the images never stop looking like random messes.

I tried using TensorFlow agents to do RI learning, but once again just end up with random messes.

Is there maybe a paper or resource out there that I am missing because I do not know the right search terms?

submitted by /u/DrOchensati
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