~9%. (I didn't think it would be much of a problem since they'd be cropped down and anyway, all my previous GANs sucked too much to care about fine details.)
I'm new to this how "This X Does Not Exist" thing ("This Person Does Not Exist" in seems especially impressive). It seems like this images are generated through some Machine Learning Magic(TM), but could anyone here give a rundown of how it all actually works? These all seem freaky good for something generated by a computer.
They are generated by Generative Adversarial Networks.
Have you heard about convolutional networks? They are neural networks that are especially well-suited for problems that have spatial structure (such as 2D images) and translational invariance (a face is a face, no matter of its coordinates in the picture).
Generative Adversarial Networks, or GANs for short is an architecture that arranges an image-generating network and fake-detecting network in a competitive situation. That makes them co-evolve towards generating pictures that are harder and harder to distinguish from the real ones.
Wow, that's really interesting! I've heard a bit about convolutional networks, but I've never heard of pitting two systems against each other like that. Thanks for taking the time to write that out.
Some of these generated images look oddly male, or at least gender-unspecific, with their longer faces, eye-nose distances and wider chins. Mixing lots of female drawings inside a gann apparently doesn't result in females in every case.
A lot of anime waifus have androgynous features (often intentionally, e.g. Felix from Re:Zero). I wouldn't be surprised if the training set included many such examples.
