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

[Gillian Densmore]

👍

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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>>
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