They don’t require AI neural networks.
Sharpening and denoising don’t. But upscalers worth anything do require neural nets.
Anything that uses a neural network is the definition of AI.
Comment on YouTube secretly used AI to edit people's videos. The results could bend reality
FauxLiving@lemmy.world 3 weeks ago
“AI”
Sharpening, Denoising and upscaling barely count as machine learning. They don’t require AI neural networks.
They don’t require AI neural networks.
Sharpening and denoising don’t. But upscalers worth anything do require neural nets.
Anything that uses a neural network is the definition of AI.
Not true
Company I used to work for had excellent upscalers running on FPGAs that they developed 20+ years ago.
The algorithms have been there for years, just AI gives it bit of marketing sprinkle to something that has been a solved problem for years.
Depends on what you’re trying to upscale.
Well, the algorithms that make up many neural networks have existed for over 60 years. It’s only recently that hardware has been able to make it happen.
AI gives it bit of marketing sprinkle to something that has been a solved problem for years.
Not true and I did say “any upscaler that’s worth anything”. Upscaling tech has existed at least since digital video was a thing. Pixel interpolation is the simplest and computationally easiest method. But it tends to give a slight hazy appearance.
It’s actually far from a solved problem. There’s a constant trade-off beyond processing power and quality. And quality can still be improved by a lot.
at least since digital video
Right. Even back in the eighties UK broadcasters were upscaling American NTSC 480i60 shows to 576i50. The results were varied. High-ticket shows like Friends and Fraiser looked great, albeit a bit soft and oversaturated, while live news feeds looked terrible. If you’ve never seen it, The Day Today has a perfect example of what a lot of US programmes lookd like converted to PAL.
Barely count or not they absolutely ruin every piece of media I’ve. They make people look like wax figures and turn text into gibberish.
But you can use AI for that
hushable@lemmy.world 3 weeks ago
Sharpening is a simple convolution, doesn’t even count as ML
FauxLiving@lemmy.world 3 weeks ago
The “ai bad” brainrot has everyone thinking that any algorithm is AI and all AI is ChatGPT.
hushable@lemmy.world 3 weeks ago
just today someone told me that Vocaloid was also AI music, they are either too dumb to make some basic fact-checking or true believers trying to hype up AI by any means necessary
ziggurat@lemmy.world 1 week ago
To be fair, back before ML natural language programming, non-tech folks often assumed coding was just telling the computer what you want in plain English. Today that’s what vibecoders do
FauxLiving@lemmy.world 1 week ago
It would be nice if it ever gets as good as the Star Trek bridge computer. Maybe we can save more whales
CeeBee_Eh@lemmy.world 2 weeks ago
My simple rule is that if it uses a neural network model of some kind, then it can be accurately called AI.
feinstruktur@lemmy.ml 3 weeks ago
Thisthisthis