[RangerScience]

Okay. Here's a wacky thought. Let's say I want more work of a particular style than exists. AFAIK, what I'd do is train the neural net on a body of work within that particular style, and then use tools like this one to "paint" and produce new work in that style for minimal effort.

However - What knowledge or tools would help me in best affecting the work that the neural net then produces? As in, effect the "style" that the network applies?

[junyanz]

This is a brilliant idea. I guess it would be difficult for this work to accomplish as you need to train a neural net on tons of data (like 100k images, or millions), and we cannot find so many paintings with consistent style.

Work like Deep style transfer, or Prisma can try to transfer the style of one painting to an existing user photo. But you cannot use it as painting tool for creating new stuff.

[RangerScience]

Thanks!

There's got to be a way, although it might be incestuous. Use Deep style transfer and/or Prisma to massively increase the body of work, by transforming other work into that style, and then using that as training data for this...? Then I guess the artistry is in filtering those images, but that's a lot of images...

OOOOOHHHH WAIT. Remember how there's that dude who gets shown surveillance images from the middle east, and a computer watches his brain for the faster-than-thought responses to there being things in those images? That same trick MIGHT work for artistic sensibilities, but the response might not be identifiable enough.

[junyanz]

We are working on something similar to your idea. We generate sketch images from real images automatically and train a model on the sketch images. So ideally, if a user draw the left wheel of the bicycle, the system will produce the entire bicycle sketch. We will release this 'sketch' feature in a few days and hope it will help a user better sketch object.

As you said, one can also apply other filters like Prisma.

[RangerScience]

Neat! Who's "we"? I'd like to read more.