This Waifu Does Not Exist(thiswaifudoesnotexist.net)
thiswaifudoesnotexist.net
This Waifu Does Not Exist
http://www.thiswaifudoesnotexist.net
26 comments
How much porn was in the dataset? The generated faces seem to have a tendency to have white goo arond the mouth...
Note that if you don't like that interface, there's another, for those made of sterner stuff: https://www.obormot.net/demos/these-waifus-do-not-exist.html
Another cool demonstration: training on a particular character tag, so you can e.g. sample from the space of possible Asukas. https://twitter.com/gwern/status/1094728538396205057
I imagine that tools such as this will be invaluable for game developers of the future.
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.
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.
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For considerably extra lulz, I have added GPT-2 text snippets with an anime plot prime.
They are absolutely hilarious: http://0x0.st/zoT2.png
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.
It has some hiccups beyond gender. For example: https://imgur.com/a/d3SfrnQ
It looks like a bug alright, but then again... it's not something I wouldn't expect to see in actual anime :).
I didn't filter out male faces (no convenient way, anyway), so there are males in it. Not a ton, certainly, but at least a few thousand.
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.
This is hilarious and awesome.
Neat twist on the other website.