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.
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.
~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.)
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[ 1.7 ms ] story [ 66.7 ms ] thread• https://github.com/NVlabs/stylegan
• https://arxiv.org/abs/1812.04948
• https://www.youtube.com/watch?v=kSLJriaOumA
• https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi...
• https://www.youtube.com/watch?v=1ct_P3IZow0
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.
* Cook
* Clean the house
* Wash the dish's
* Wash the clothes
* Simple gardening
* Service its master
Natural Born females can be replaced over night
I'm waiting to order my Asia Cat girl Waifu robot
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How to fix Marriage in the west+EU+JP
* Fault divorce, not no fault
* One LAW for everyone with the SAME punishment for ALL.
* REMOVE Duluth Model from LAW+Courts+Police
* REMOVE PUSSY PASS
* False rape and False Sexual Assault to be convicted
* Ban Abortion
* Remove Child support
* Remove Vagmony (Alimony)
* Remove forced 50% of other person's assets
* False rape/assault claim register database
* Kid goes to the BEST person , Not automatically to the mother
* DNA test at all birth of kids
I doubt it will never happen
since women will actually be EQUAL & ACCOUNTABLE