AMD plans for FSR4 to be fully AI-based — designed to improve quality and maximize power efficiency
https://www.tomshardware.com/pc-components/gpus/amd-plans-for-fsr4-to-be-fully-ai-based-designed-to-improve-quality-and-maximize-power-efficiency
30 points · 4 comments · view on lemmy.world
4 Comments
cmnybo@discuss.tchncs.de · 9 pts · 1y
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 · 11 pts · 1y
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 pts · 1y
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 pts · 1y
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.