Deep learning super sampling: Difference between revisions

'''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 exclusive to its [[Nvidia RTX|RTX]] line of [[graphics card]]s,<ref>{{Cite web|title=NVIDIA DLSS Technology for Incredible Performance|url=https://www.nvidia.com/en-gb/geforce/technologies/dlss/|access-date=2022-02-07|website=NVIDIA|language=en-gb}}</ref> andare available in a number of [[Video game|video games]]. 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>