<div dir="ltr">Oh shit! that's trippy! I though I stumbled over an equally trippy screen saver, and (separately) some kind white noise, or background sounds generator that used Ai somehow. <div>Found one of the screen savers that uses Ai. It's free if you let them use your GPU and CPU otherwise it's just a few bucks. <a href="https://electricsheep.org/">https://electricsheep.org/</a> </div><div>I'm not finding the specific whitenoise maker I tried to help with insomnia. Just for that side, worked out great. I don't think it was as sophisticated as dall-e2. IIRC I had to give it somehelp with some stuff. Maybe so it knows where to start? I didn't think about it till now. Because if I like backgrounds that are warm and wholesome, it'd need to know what mix together and kinds of tones or something? I have no idea. I'm just guessing</div><div>electricsheep on the other hand can make some stuff that on the entire spectrum from trippy, to that's just cheating: a beautiful scenic town kind of things.</div><div><br></div><div>Do you know if they needed to train the Neural Networks so it knows whats what? like popart from <a href="https://en.wikipedia.org/wiki/Roy_Lichtenstein" title="Roy Lichtenstein" style="text-decoration-line:none;color:rgb(6,69,173);background:none rgb(248,249,250);font-family:sans-serif;font-size:12.3704px">Lichtenstein</a> and andy worhole or what we might find at the indian market. Such that later on you say ahah I want a cow print slowcooker picture Dall-e can do that?</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Apr 6, 2022 at 11:04 AM Marcus Daniels <<a href="mailto:marcus@snoutfarm.com">marcus@snoutfarm.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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<p class="MsoNormal">Speaking of which, <a href="https://openai.com/dall-e-2/" target="_blank">https://openai.com/dall-e-2/</a><u></u><u></u></p>
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<p class="MsoNormal"><b>From:</b> Friam <<a href="mailto:friam-bounces@redfish.com" target="_blank">friam-bounces@redfish.com</a>> <b>On Behalf Of
</b>Gillian Densmore<br>
<b>Sent:</b> Monday, April 4, 2022 10:01 PM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group <<a href="mailto:friam@redfish.com" target="_blank">friam@redfish.com</a>><br>
<b>Subject:</b> Re: [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<u></u><u></u></p>
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<p class="MsoNormal"><span style="font-family:"Segoe UI Emoji",sans-serif">👍</span><u></u><u></u></p>
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<p class="MsoNormal">On Mon, Apr 4, 2022 at 8:37 PM Marcus Daniels <<a href="mailto:marcus@snoutfarm.com" target="_blank">marcus@snoutfarm.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal">I am not a photographer but I have been startled by how recent iPhone photos sometimes look better than what I saw when I took it. This article explains..
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<p class="MsoNormal"><a href="https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart" target="_blank">https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart</a><u></u><u></u></p>
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<p class="MsoNormal">Filmy-ness sounds like crude interpolation more than structure being imposed.<u></u><u></u></p>
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<p class="MsoNormal">Suppose I had 1000 pictures of my dog in many lighting conditions and from different angles. Using photogrammetry reconstruction techniques these could be used to prepare a 3-d textured model of her. My iPhone could determine that the
1001st photo also included her. It could then reference this model to enhance her image in the new context. Maybe inferring the light sources and ray tracing her at the required orientation and scale, but at a resolution far beyond what was in the photo.
That would be more art than a photo, but who cares about the truth anymore? Photos are to be staged!<u></u><u></u></p>
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<p class="MsoNormal" style="margin-bottom:12pt">On Apr 4, 2022, at 5:04 PM, Gillian Densmore <<a href="mailto:gil.densmore@gmail.com" target="_blank">gil.densmore@gmail.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal">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.<u></u><u></u></p>
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<p class="MsoNormal">On Mon, Apr 4, 2022 at 5:40 PM Gillian Densmore <<a href="mailto:gil.densmore@gmail.com" target="_blank">gil.densmore@gmail.com</a>> wrote:<u></u><u></u></p>
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<p class="MsoNormal">aaaaaaaaaaaaaaah! coool!! thanks!<u></u><u></u></p>
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<p class="MsoNormal">On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels <<a href="mailto:marcus@snoutfarm.com" target="_blank">marcus@snoutfarm.com</a>> wrote:<u></u><u></u></p>
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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.<u></u><u></u></p>
<p class="MsoNormal">Then that algorithm can invert that distribution function. Kind of like a lens can correct for nearsightedness.<u></u><u></u></p>
<p class="MsoNormal"> <u></u><u></u></p>
<p class="MsoNormal">[1]
<a href="https://arxiv.org/pdf/2107.10833.pdf" target="_blank">https://arxiv.org/pdf/2107.10833.pdf</a><u></u><u></u></p>
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<p class="MsoNormal"><b>From:</b> Friam <<a href="mailto:friam-bounces@redfish.com" target="_blank">friam-bounces@redfish.com</a>>
<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 <<a href="mailto:friam@redfish.com" target="_blank">friam@redfish.com</a>><br>
<b>Subject:</b> [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<u></u><u></u></p>
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<p class="MsoNormal"><a href="https://github.com/xinntao/ESRGAN" target="_blank">https://github.com/xinntao/ESRGAN</a><u></u><u></u></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.<u></u><u></u></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?<u></u><u></u></p>
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