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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