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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