AMD FidelityFX Super Resolution 2.0 announced

Quoting: axredneckHow can i use them just for antialiasing (without upscaling) ?
(Especially for games that have neither DLSS/FSR nor antialiasing built in)

I'm not sure, I don't have an RTX card, and never tried FSR. But in theory, you could run your native resolution (for example 1080p), let it upscale to 1440p or 2160p, and then configure your display to downscale that to 1080p. That should result in a high quality anti alias effect.

But I never tried that.

"e "Q2 2022". They will be attending GDC though next week to give a talk on it."
you know what also will happen q2 2022? second batch of steam decks...

Quoting: gradyvuckovicI don't see how something like Gamescope could have access to that data.

gamescope dont, but proton can i guess.

Quoting: Doc AngeloRTX cards simply execute the process that was the result of the machine learning that was done on different hardware - which also happened to be regular hardware.

isnt that the definition of ASIC?
asic is much more efficient to do what it does, so i dont see the issue here.
if you know you gona need more multiplication than sums,subtractions and divisions there is no reason to care about sum/sub/div as much as you do for multiplication operation.

Quoting: somebody1121I hope they release the source code soon so godot 4 can add this (Although it need some TAA implementation first for the motion vectors)

i dont think they have enough man power for that, it would only delay vulkan, i think they will focus on deliver vulkan on 4.0, bring back openGL at 4.1, and those extra features either will go at =>4.2x or 5.0x.

one thing i think they could implement though, that shouldnt require too much effort to add is some form of rendering the text in a different render contex so FSR 1.0 could work on everything else from the game, then you render the text as the last step in an higher resolution instead of upscaling it.
(something like an text overlay on top of the game render.)

i think its doable.

Quoting: iskaputt

Quoting: Doc AngeloThe meaning of the terms around "artificial intelligence" are weird

"Machine Learning" is a huge pile of buzzword/b*llsh*t bingo. That's just how it is.

sigh, no it isnt.
go learn how it work and what is possible with it, you have no idea what you're talking about.

on a side note, i can agree that the term "learn" is miss leading, its like calling an AI an inteligent system, as if the machine could "think", that i agree , its bullshit.

Quoting: elmapul

Quoting: iskaputt

Quoting: Doc AngeloThe meaning of the terms around "artificial intelligence" are weird

"Machine Learning" is a huge pile of buzzword/b*llsh*t bingo. That's just how it is.

sigh, no it isnt.
go learn how it work and what is possible with it, you have no idea what you're talking about.

on a side note, i can agree that the term "learn" is miss leading, its like calling an AI an inteligent system, as if the machine could "think", that i agree , its bullshit.

I'm strictly speaking about the rhetoric used around ML, to be fair that wasn't clear in my comment. What's coming from that field in terms of results is impressive at times.

As you seem to be knowledgeable about the topic, how far has it come on the "explainability"? Last time I dived deeper into ML (like a couple years ago) the "why" was pretty sketchy (coming from a more classic statistical modelling POV) and there was that whole issue about decisions made with these models no one could really understand (like ML-based credit ratings). I know there have been some advancements, but I'm not following ML closely. But I'm watching the occasional talk in academia about ML being used for some specific problem and that didn't bode well for the answer.

Quoting: Doc Angelo

Quoting: axredneckHow can i use them just for antialiasing (without upscaling) ?
(Especially for games that have neither DLSS/FSR nor antialiasing built in)

I'm not sure, I don't have an RTX card, and never tried FSR. But in theory, you could run your native resolution (for example 1080p), let it upscale to 1440p or 2160p, and then configure your display to downscale that to 1080p. That should result in a high quality anti alias effect.

But I never tried that.

I have tried that in the past, on Windows, on some older games that didn't have built-in AA.
Scaling up to 4K, then downscaling to 1080p (max resolution supported by my monitor), the edges did look better, as well as some other details.
But it was a bit clunky to use (you had to enable it manually for each .exe program)

I found back the link that explained how it works (with the dot grids) : https://www.nvidia.com/en-us/geforce/news/dynamic-super-resolution-instantly-improves-your-games-with-4k-quality-graphics/

Quoting: kokoko3kI'm curious to see how it will work with static frames.
I imagine that temporal AA induces some sort of subtle movement to the camera (?).
It this is true, then it would not be possible to implement such thing on compositor side, like with FSR today.
Somebody has some insight on TAA?

I've been playing with Unreal's temporal anti-aliasing some time ago. It indeed moves the camera very slightly every frame, using the FViewMatrices::HackAddTemporalAAProjectionJitter(const FVector2D& offset) method. The offset is taken from one of several hardcoded sample patterns, which can be selected using the r.TemporalAASamples setting.

Quoting: denyasis

QuoteDelivers similar or better than native image quality using temporal data

Wait, so it can make an image that's better than the original??

Yes. That's because the camera is moved sub-pixel distances between frames, giving you an effective resolution that can be above the original one. It's similar to Multisampling, but does not have the same performance overhead, as it re-uses images from previous frames, instead of doing multiple samples of the same frame.

Since it's using previous images, it cannot account for objects that were not visible in those frames or that change their movment speed. This causes ghosting and is the main drawback of Temporal over regular Multisampling.


Last edited by soulsource on 18 March 2022 at 10:34 am UTC

Quoting: iskaputt

Quoting: elmapul

Quoting: iskaputt

Quoting: Doc AngeloThe meaning of the terms around "artificial intelligence" are weird

"Machine Learning" is a huge pile of buzzword/b*llsh*t bingo. That's just how it is.

sigh, no it isnt.
go learn how it work and what is possible with it, you have no idea what you're talking about.

on a side note, i can agree that the term "learn" is miss leading, its like calling an AI an inteligent system, as if the machine could "think", that i agree , its bullshit.

I'm strictly speaking about the rhetoric used around ML, to be fair that wasn't clear in my comment. What's coming from that field in terms of results is impressive at times.

As you seem to be knowledgeable about the topic, how far has it come on the "explainability"? Last time I dived deeper into ML (like a couple years ago) the "why" was pretty sketchy (coming from a more classic statistical modelling POV) and there was that whole issue about decisions made with these models no one could really understand (like ML-based credit ratings). I know there have been some advancements, but I'm not following ML closely. But I'm watching the occasional talk in academia about ML being used for some specific problem and that didn't bode well for the answer.

im not an expert, i saw a few videos explaining the process, but i'm not an data scientist or anything and dont have an good video to recomend from the top of my head.
i was just a bit pissed off by what you said, but as you explained, it was just an miss fortunate choice of words, so lets ignore that.

i agree that a LOT of companies are puting machine learn as an buzz world to market their tech to investors or end users, but the area as an whole isnt limited to that.
unlike metaverse...