Deep Learning Super Sampling: Difference between revisions

Revision as of 14:19, 9 January 2025

Revision as of 19:01, 14 January 2025

Line 3:

'''Deep learning super sampling''' ('''DLSS''') is a family of [[Real-time computing|real-time]] [[deep learning]] image enhancement and [[Image scaling|upscaling]] technologies developed by [[Nvidia]] that are available in a number of [[video game]]s. The goal of these technologies is to allow the majority of the [[graphics pipeline]] to run at a lower [[Display resolution|resolution]] for increased performance, and then infer a higher resolution image from this that approximates the same level of detail as if the image had been rendered at this higher resolution. This allows for higher graphical settings and/or [[frame rates]] for a given output resolution, depending on user preference.<ref name=":2">{{cite web|url=https://www.digitaltrends.com/computing/everything-you-need-to-know-about-nvidias-rtx-dlss-technology/|title=Nvidia RTX DLSS: Everything you need to know |publisher=[[Digital Trends]]|date=2020-02-14|access-date=2020-04-05|quote=Deep learning super sampling uses artificial intelligence and machine learning to produce an image that looks like a higher-resolution image, without the rendering overhead. Nvidia's algorithm learns from tens of thousands of rendered sequences of images that were created using a supercomputer. That trains the algorithm to be able to produce similarly beautiful images, but without requiring the graphics card to work as hard to do it.}}</ref>

As of September 2022, the first and secondAll generations of DLSS are available on all RTX-branded cards from Nvidia in supported titles,. whileHowever, the thirdframe generation unveiledfeature atis Nvidia'sonly [[Nvidiasupported GTC|GTC]]on 202240 eventseries isor exclusivenewer toand the [[Ada Lovelace (microarchitecture)|Ada Lovelace]]multi-frame generation [[GeForceis 40only series|RTXavailable 40on 50 series]] graphics cards.<ref name=":3">{{Cite web |title=Introducing NVIDIA DLSS 3 |url=https://www.nvidia.com/en-us/geforce/news/dlss3-ai-powered-neural-graphics-innovations/ |access-date=2022-09-20 |website=NVIDIA |language=en-us}}</ref><ref name=":6">{{Cite web |title=NVIDIA DLSS 4 Introduces Multi Frame Generation & Enhancements For All DLSS Technologies |url=https://www.nvidia.com/en-us/geforce/news/dlss4-multi-frame-generation-ai-innovations/ |access-date=2025-01-14 |website=NVIDIA |language=en-us}}</ref> Nvidia has also introduced '''Deep learning dynamic super resolution''' ('''DLDSR'''), a related and opposite technology where the graphics are rendered at a higher resolution, then downsampled to the native display resolution using an [[artificial intelligence]]-assisted downsampling algorithm to achieve higher image quality than rendering at native resolution.<ref>{{cite web |last1=Archer |first1=James |title=Nvidia DLDSR tested: better visuals and better performance than DSR |url=https://www.rockpapershotgun.com/nvidia-dldsr-tested-better-visuals-and-better-performance-than-dsr |website=Rock Paper Shotgun |date=17 January 2022 |access-date=23 February 2022 |ref=dldsr}}</ref>

== History ==

Line 30:

|September 2023

|DLSS 3.5 adds ray reconstruction, replacing multiple denoising algorithms with a single AI model trained on five times more data than DLSS 3.<ref name="eurogamerdlss35">{{cite web|url=https://www.eurogamer.net/digitalfoundry-2023-nvidia-announces-dlss-35-with-ray-reconstruction-boosting-rt-quality-with-an-ai-trained-denoiser|title=Nvidia announces DLSS 3.5 with ray reconstruction, boosting RT quality with an AI-trained denoiser |access-date=6 September 2023|date=23 August 2023|publisher=EuroGamer}}</ref><ref name="vergedlss35">{{cite web|url=https://www.theverge.com/2023/8/22/23841148/nvidia-dlss-3-5-ray-reconstruction-ray-tracing-quality|title=Nvidia's new DLSS 3.5 works on all RTX GPUs to improve the quality of ray tracing|access-date=6 September 2023|date=22 August 2023|publisher=The Verge}}</ref>

|-

|4.0

|January 2024

|DLSS 4.0 adds multi-frame generation, new AI-model based on the [[Transformer (deep learning architecture)|transformer architecture]], improving frame stability, reduced memory usage, and increased lighting detail.<ref name=":6" /><ref>{{Cite web |last=Khan |first=Sarfraz |date=2025-01-14 |title=NVIDIA Confirms Updated DLSS Frame Generation On RTX 40 GPUs, Leads to Lower VRAM Usage & Faster Performance |url=https://wccftech.com/nvidia-dlss-frame-generation-rtx-40-gpus-new-ai-model-faster-lower-vram-requirement/ |access-date=2025-01-14 |website=Wccftech |language=en-US}}</ref>

|}