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Leg
S***
Stomp
L:Learning
S:Super
S:Sampling
It's an AI based upscaling technology. In general you can easily get an fps increase of 30-100% based on what option you use. The best Option often looks atleast almost native in some rare instances better than native.
In Red Dead Redemptions case it's a rather poor implementation that only gives an ~15% performance increase in it's best visual option.
Some people like the visual DLSS brings to Red Dead 2 some don't.
This video gives an overview of the DLSS implementation and its effects in Red Dead 2
https://www.youtube.com/watch?v=Y0bmyk3he1k
Every step down (quality->performance->ultra performance) lowers the source image a notch, so 1440p on "quality" probably has a source image of 1080p and it's probably 720p for "performance" (they don't make it easy to figure out what the source resolution is).
The problem with RDR2 is that it has a lot of fine detail (grass/leaves/etc.) that are hard for dlss to figure out. So setting it too aggressively will make everything look muddy.
I have a 3080 (I bought a new system, so I was out of the scalp loop) and at 1440p, I get 80-90 fps with it off and 90-110 with it on "quality." I notice the slats on bridges look weird, and everything is just a tad splotchy, so I run with it off.
DLSS was great for both Cyberpunk2077 and Control since they have a lot of square architecture and very little grass/plants/etc...
Don't expect AMD's FSR to be any better. It doesn't have motion vectors or any other way to do temporal AA, so I'd expect it to be a shimmering mess.
Sadly in RDR2 the performance boost was very little for me and got me questioning my rig.
Here, from google.
Q: What is DLSS?
A: Deep Learning Super Sampling (DLSS) is an NVIDIA RTX technology that uses the power of AI to boost your frame rates in games with graphically-intensive workloads. With DLSS, gamers can use higher resolutions and settings while still maintaining solid framerates.
Q: How does DLSS work?
A: The DLSS team first extracts many aliased frames from the target game, and then for each one we generate a matching “perfect frame” using either super-sampling or accumulation rendering. These paired frames are fed to NVIDIA’s supercomputer. The supercomputer trains the DLSS model to recognize aliased inputs and generate high quality anti-aliased images that match the “perfect frame” as closely as possible. We then repeat the process, but this time we train the model to generate additional pixels rather than applying AA. This has the effect of increasing the resolution of the input. Combining both techniques enables the GPU to render the full monitor resolution at higher frame rates.
Same here with my 2080, next to no performance increase at all.. Just made it blurrier, and grass DoF is screwed up as well.