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Using GANs to Create Fantastical Creatures

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Re: Using GANs to Create Fantastical Creatures

#73

In the future GANs will replace all of human creativity so much so that humans will spend all of their creative outlets on training GANs and using GANs to do the creation for them.

GANs and computers are mirrors of the engineer's mind. You can only get out some combination of the trained data set and user input. Huamns can produce novel artworks that a computer cannot, usually with more control over the intagibles like creativity and the fundamentals like drawing and perceiving the world.

> You can only get out some combination of the trained data set and user input.

The same could be said of humans. A lot of humans would say a random piece of quality GAN-generated art is a creative work. They may not say so if they first looked at every piece of training data that went into it. But then, they might not do the same if they looked at every piece of art produced and viewed by a given human artist previously.

As a thought experiment, if the line in the sand is whether a computer can generate a piece of art that people think is creative, even with full knowledge of every piece of training data- I think that's not at all difficult to overcome long term. Possibly even with current models.

Re: Using GANs to Create Fantastical Creatures

#74
post #12
post #3

It is very much not working for me. I get a mostly-transparent creature. The opaque parts seem to follow the brushstrokes of my drawing. Maybe it is because it was trained on finely detailed material, whereas my drawing was a coarse doodle.

You have to draw solid regions, not an outline.

I did draw solid regions.

Re: Using GANs to Create Fantastical Creatures

#76

Tried to draw Patrick Starr. Got a horrible, horrible monster [1]. 10/10, will definitely be drawing more. [1] https://i.imgur.com/yBDW2gd.png

Actually, not bad for a monster,it looks a lot like the "Oogie Boogie" character from "The Nightmare Before Christmas" [1].

[1] https://i.imgur.com/md9P1lk.png

Re: Using GANs to Create Fantastical Creatures

#78
post #68

Earlier quoted context omitted.

Doesn't seem to be very well suited to that particular task. ;) eg: https://ded.ninja/gan-monster1.png

I think mine came out pretty great: https://imgur.com/kNlSAbX

Yep, yours definitely wins. :)

Re: Using GANs to Create Fantastical Creatures

#79
post #56

Earlier quoted context omitted.

Man, I was really hoping to be the first to pull the trigger on that. But if I'm being honest with myself: I ain't gonna be putting in the time to learn to tensorflow.

Tensorflow (or PyTorch, or any other framework) aren't the problem, though. It's choosing a suitable net architecture, loss function, and training methodology all of which require in-depth knowledge and lots of experimentation. Even after that you're only half way there, because now the fun and exploration is over and the pain begins: finding (and worse even - annotating!) and validating training data. Once this herc…

> It's choosing a suitable net architecture, loss function, and training methodology all of which require in-depth knowledge and lots of experimentation.

Yes, things have progressed since my time in undergrad studying NNs and such. Presumably the work done on MtG transfers.

> Even after that you're only half way there, because now the fun and exploration is over and the pain begins: finding (and worse even - annotating!) and validating training data.

Well, for A:NR there's already multiple databases and a thousand cards. That's your training set. Throw in the online league cards if you require more.

> It's much, much more involved "learning some tensorflow".

I already work in SRE for a huge AI you've heard of, but thanks for the lecture.

Re: Using GANs to Create Fantastical Creatures

#80

Does anyone know of work towards automatic 3D model generation and, ideally, rigging for animation? It seems like the future, but it also seems like it’s not getting the attention it should.

Related video from 2018: https://www.youtube.com/watch?v=FlgLxSLsYWQ
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