Is that also why some of the older software for upscaling tricks the new pictures have a kind of saturated or filmy thing over them? or is that just from the particular Neural Networks or Ai models used? Still very impressive.
On Mon, Apr 4, 2022 at 5:40 PM Gillian Densmore <[email protected]> wrote: > aaaaaaaaaaaaaaah! coool!! thanks! > > On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels <[email protected]> > wrote: > >> 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? >> >> .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . >> FRIAM Applied Complexity Group listserv >> Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam >> un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com >> FRIAM-COMIC http://friam-comic.blogspot.com/ >> archives: >> 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ >> 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >> >
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