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<p class="MsoNormal">The idea [1] is that they learn the distribution function of different kinds of distortion using a machine learning algorithm.<o:p></o:p></p>
<p class="MsoNormal">Then that algorithm can invert that distribution function. Kind of like a lens can correct for nearsightedness.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">[1] <a href="https://arxiv.org/pdf/2107.10833.pdf">https://arxiv.org/pdf/2107.10833.pdf</a><o:p></o:p></p>
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<p class="MsoNormal"><b>From:</b> Friam <friam-bounces@redfish.com> <b>On Behalf Of
</b>Gillian Densmore<br>
<b>Sent:</b> Monday, April 4, 2022 3:25 PM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group <friam@redfish.com><br>
<b>Subject:</b> [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><a href="https://github.com/xinntao/ESRGAN">https://github.com/xinntao/ESRGAN</a><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">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.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">I am beyond fascinated how do they do it? just guess based on colors and add more pixels with that color?<o:p></o:p></p>
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