Deep Learning Super Sampling: Difference between revisions

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'''Deep Learning Super Sampling''' (or '''DLSS''') is a technology developed by [[Nvidia]], using [[Deep learning]] to produce an image that looks like a higher-resolution image of the original image at a lower resolution image.{{Contradict-inline|date=April 2020}} This technology is advertised as allowing to have a much higher resolution asof the original without the [[Videovideo card]] overhead.{{Ambiguous|date=April 2020}}<ref>{{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|accessdate=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>
 
==History==