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[-] cmnybo@discuss.tchncs.de 9 points 6 days ago

AI image upscaleing isn't something I would associate with being energy efficient or fast. I wonder how that's supposed to work?

[-] remotelove@lemmy.ca 10 points 6 days ago

It seems like it would be extremely fast to me. Take a 50x50 block of pixels and expand those across a 100x100 pixel grid leaving blank pixels were you have missing data. If a blank pixel is surrounded by blue pixels, the probability of the missing pixel being blue is fairly high, I would assume.

That is a problem that is perfect for AI, actually. There is an actual algorithm that can be used for upscaling, but at its core, its likely boiled down to a single function and AI's are excellent for replicating the output of basic functions. It's not a perfect result, but it's tolerable.

If this example is correct or not for FSR, I have no clue. However, having AI shit out data based on a probability is mostly what they do.

[-] we_avoid_temptation@lemmy.zip 4 points 6 days ago

I'm very much not an expert, but I'd imagine it's similar to how AES-NI works: the task is CPU/GPU-intensive until specific instructions are designed to do whatever blackmagicfuckery level math is required, and once it's in hardware it's more both power efficient and faster.

[-] dlove67@feddit.nl 3 points 6 days ago* (last edited 6 days ago)

Without more detail we can only assume, but I would imagine it working the same way that DLSS is (presumed?) to work.

Most of the upscaling is done by their TAA algorithm that's a part of FSR3.1, then the image will be cleaned up with their "AI" component for more image stability.

this post was submitted on 14 Sep 2024
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