[FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good

Fri Apr 8 10:19:16 EDT 2022

That soundscape thing is nice. What a nifty idea.
Speaking of AI, has anyone used GitHub copilot. It is AI for writing code.
It is spectacular. It writes decent code with very few prompts. It makes a
few mistakes but don't we all.
I haven't been able to find a good writeup on how it works. Does anyone
know about it? Does it run locally? Could it create itself?

On Wed, Apr 6, 2022, 1:24 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> Change the sentence to be “Put Ukrainian soldier nearby a civilian on
> street in Bucha, shooting her.”
>
>
>
> *From:* Friam <friam-bounces at redfish.com> *On Behalf Of *Gillian Densmore
> *Sent:* Wednesday, April 6, 2022 11:09 AM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject:* Re: [FRIAM] This is scary, and yet very cool...Ai neural
> networks making pictures, look really good
>
>
>
> 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.
>
> 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.
> https://electricsheep.org/
>
> 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
>
> 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.
>
>
>
> Do you know if they needed to train the Neural Networks so it knows whats
> what? like popart from Lichtenstein
> <https://en.wikipedia.org/wiki/Roy_Lichtenstein> 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?
>
>
>
> On Wed, Apr 6, 2022 at 11:04 AM Marcus Daniels <marcus at snoutfarm.com>
> wrote:
>
> Speaking of which,  https://openai.com/dall-e-2/
>
>
>
> *From:* Friam <friam-bounces at redfish.com> *On Behalf Of *Gillian Densmore
> *Sent:* Monday, April 4, 2022 10:01 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject:* Re: [FRIAM] This is scary, and yet very cool...Ai neural
> networks making pictures, look really good
>
>
>
> 👍
>
>
>
> On Mon, Apr 4, 2022 at 8:37 PM Marcus Daniels <marcus at snoutfarm.com>
> wrote:
>
> 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..
>
>
>
>
> https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart
>
>
>
> Filmy-ness sounds like crude interpolation more than structure being
> imposed.
>
>
>
> 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!
>
>
>
>
>
> On Apr 4, 2022, at 5:04 PM, Gillian Densmore <gil.densmore at gmail.com>
> wrote:
>
> 
>
> 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 <gil.densmore at gmail.com>
> wrote:
>
> aaaaaaaaaaaaaaah! coool!! thanks!
>
>
>
> On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels <marcus at snoutfarm.com>
> 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 <friam-bounces at redfish.com> *On Behalf Of *Gillian Densmore
> *Sent:* Monday, April 4, 2022 3:25 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *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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