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

Thu Apr 7 15:43:16 EDT 2022

Here's one of the soundscape generators that I mentioned.
https://medium.com/qosmo-lab/imaginary-soundscape-take-a-walk-in-soundscapes-imagined-by-ai-f8b99f82eefb
The blurb says somehow their Ai can try to find sounds in their db, and
also mix in ones in short loops, just from pictures, and map locations.
I've tried a bunch works pretty well. What's spooky and cool though is it
working at all.

On Wed, Apr 6, 2022 at 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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