Deep learning super sampling

Deep learning super sampling (DLSS) is a family of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available in a number of video games. The goal of these technologies is to allow the majority of the graphics pipeline to run at a lower 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.[1]

As of September 2022, the first and second generations of DLSS are available on all RTX-branded cards from Nvidia in supported titles, while the third generation unveiled at Nvidia's GTC 2022 event is exclusive to the Ada Lovelace generation RTX 40 series graphics cards.[2] 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.[3]

  1. ^ "Nvidia RTX DLSS: Everything you need to know". Digital Trends. 2020-02-14. Retrieved 2020-04-05. 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.
  2. ^ "Introducing NVIDIA DLSS 3". NVIDIA. Retrieved 2022-09-20.
  3. ^ Archer, James (17 January 2022). "Nvidia DLDSR tested: better visuals and better performance than DSR". Rock Paper Shotgun. Retrieved 23 February 2022.