The idea [1] is that they learn the distribution function of different kinds of 
distortion using a machine learning algorithm.
Then that algorithm can invert that distribution function.  Kind of like a lens 
can correct for nearsightedness.

[1] https://arxiv.org/pdf/2107.10833.pdf
From: Friam <[email protected]> On Behalf Of Gillian Densmore
Sent: Monday, April 4, 2022 3:25 PM
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Subject: [FRIAM] This is scary, and yet very cool...Ai neural networks making 
pictures, look really good

https://github.com/xinntao/ESRGAN

Stumbled across this looking for a way to gently adjust some old pictures of 
mine without watermarks (gigapixel), photoshop wasn't cutting it  because not 
enough pixels or data in the originals.

I am beyond fascinated how do they do it? just guess based on colors and add 
more pixels with that color?
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