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(21.12.2023, 08:38)Selur Wrote: Here is the link again:
https://images.nvidia.com/aem-dam/Soluti...r-v2.1.pdf
This is officially from the NVIDIA homepage.
Cu Selur
Yes that's the link iam refering to that you can find at wiki's..
And i guess, it must be official since the url consist partial of *.nvidia.com..
But what iam saying is.. can you find the whitepaper at their website →
https://www.nvidia.com/en-us/ with an litle bit searching .. ?
EDIT: Btw... does ESRGAN use AI upscaling via hybrid i wonder ? If i have to guess, i would guess big NO ... but..
Is there any other true AI upscale filter or digital zoom filter that can be used in hybrid ?
I know the BIG QUALITY FACTOR depends on the source material, and how good or bad the quality is to begin with from the source..
cheers,
TD
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Whitepapers are usually linked in their blog/news sections,..
for example:
https://www.nvidia.com/en-us/technologie...hitecture/
you can also find architecture sub-sites when using the search over at nvidia.com
=> it's there, you just need to look for it if you don't subscribe to all the nvidia news feeds that they offer
Cu Selur
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Quote:EDIT: Btw... does ESRGAN use AI upscaling via hybrid i wonder ? If i have to guess, i would guess big NO ... but..
Is there any other true AI upscale filter or digital zoom filter that can be used in hybrid ?
I know the BIG QUALITY FACTOR depends on the source material, and how good or bad the quality is to begin with from the source..
No clue what you call an 'AI upscale filter'.
Hybrid allows to use some tools which allow to use some of the available machine learning models (i.e. from
https://openmodeldb.info/), not LLAMAs or similar.
Also, you can't train new models with Hybrid.
If what Hybrid offers isn't enough for you and you want to train your own models, you need to look for other tools like
traiNNer (there should be others out there).
Cu Selur
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(21.12.2023, 15:59)Selur Wrote: No clue what you call an 'AI upscale filter'.
well, i guess i like to know is..
Does the filter use a certain algorythm..
An Algorythm that relies on models/data to learn and thus improve/enchance the image quality as the filter is used more in hybrid ?
What about a digital zoom filter ? Wich is not the same as a upscaler.. Does hybrid have something similar ?
Cheers,
TD
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21.12.2023, 16:35
(This post was last modified: 21.12.2023, 16:36 by Selur.)
Quote:An Algorythm that relies on models/data to learn and thus improve/enchance the image quality as the filter is used more in hybrid ?
No. I know of no system which allows to improve/enhance an existing model. All systems I know of require new training of a model.
Quote:What about a digital zoom filter ? Wich is not the same as a upscaler..
Any digital zoom outside a camera is nothing else than an upscaler on a restricted area of the image.
Not taking some ai based digital zoom which takes the image, which looks through a database and replaces parts of the image, like some newer camera have it.
(thinking about:
https://www.theverge.com/2023/3/13/23637...-s23-ultra ;
CodeFormer is somewhat similar to this, but for faces.)
Cu Selur
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(21.12.2023, 16:35)Selur Wrote: Quote:An Algorythm that relies on models/data to learn and thus improve/enchance the image quality as the filter is used more in hybrid ?
No. I know of no system which allows to improve/enhance an existing model. All systems I know of require new training of a model.
Quote:What about a digital zoom filter ? Wich is not the same as a upscaler..
Any digital zoom outside a camera is nothing else than an upscaler on a restricted area of the image.
Not taking some ai based digital zoom which takes the image, which looks through a database and replaces parts of the image, like some newer camera have it.
(thinking about: https://www.theverge.com/2023/3/13/23637...-s23-ultra ; CodeFormer is somewhat similar to this, but for faces.)
Cu Selur
Thanks m8
Cu TD °^°
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Hello Selur,
could you provide the last torch addon package so that I can test ddcolor ?
Thanks,
Dan
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Latest addons are available through my GoogleDrive which is linked on the download page.
Cu Selur