His point is that naive scaling up from a higher resolution will most likely win over FSR scaling up from lower resolution - with or without RIS on top of it - when it comes to quality.
This all comes down to math. With spatial upscaling texture quality depends only on the number of real rendered pixels, the more you have, the better the quality of textures is because GPUs keep 1 to 1 pixels to texels ratio at distant mip levels which are usually right in the center of screen and into your face
I am being medium optimistic here. While you can't reconstruct texture details with spatial upscaling for obvious reasons (you can't reliably generate them even with SOTA methods such as GANs because probability space is just too large), you can still attack the jaggied geometry edges and transperent parts of textures even with the simplest methods such as depth aware upscaling, just render depth at higher res and clamp color to it (this is actually a common technic for alpha blending, low res post-processing, etc). When you think about it, even morphological AA methods can be extended to upres image since they decompose edges into simple shapes and revectorize them, you can certainly use the same method to create higher resolution appearance of geometry edges. There are other ways you can solve the edge scaling problem - with neral nets such as this one (works only with already anti aliased image), or by neural network simply generating unsharp mask or something along this line as on SHIELD TV. In other words, there is a lot of place for research and better spatial upscaling would certainly help smooth out corner cases for DLSS and other temporal super resolution technics (since it's an inherent part of them), such as the aliased edges for TSR in UE5 when you rotate camera around character for example.
The big problem with morphological AA methods is temporal stability. While AAed edges can look fantastic in still frames they jump all over the place in motion. I don't think it's a solvable problem without either blurring the signal a lot or using a temporal filter, like TAA.
Sure, morphological AA is attached to the binary no AA raster grid after all, but nobody suggests using it by alone.
Edge AA with temporal methods tends to converge so rapidly that in practice one cannot almost never see it happening, i.e. morphological AA doesn't really buy you that much with temporal methods.
I wish this was 100% true, but that's not always the case. Motion vectors are debugged as hell in some popular engines, such as UE4 so it's hard to find flaws (the places where temporal accumulation fails due to bad/non existent motion vectors), unfortunately that's not always the case.
It depends, it can as well accelerate convergence and prevent overblurring caused by constant image resampling if it is optimized for that.
Yes, running overblurring FXAA with even more overblurring TAA is a bad idea in general, because by doing that you would accumulate even more blur across TAA window (8 frames usually).
At least there's a game which support DLSS 2.x - Necromunda.
I'm not sure. Officially AMD has given no details about how the tech works.
