Deep Learning Super Sampling
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. This technology is advertised as allowing to have a much higher resolution as the original without the Video card overhead.[1]
History
Nvidia advertised DLSS as a key feature of the GeForce RTX 20 series GPUs when they launched in September 2018.[2] At that time, the results were limited to a few video games because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
In 2019, the videogame Control shipped with Ray tracing and an improved version of DLSS, but which didn't use machine learning.<ref name="techspot">
"Remedy's Control vs DLSS 2.0 - AI upscaling reaches the next level". Eurogamer. 2020-04-04. Retrieved 2020-04-05. Of course, this isn't the first DLSS implementation we've seen in Control. The game shipped with a decent enough rendition of the technology that didn't actually use the machine learning
In April 2020, Nvidia advertised an improved version of DLSS which would come for upcoming games, which this time is said to use machine learning and don't need to be trained on every game it is applied to.[2]
See also
References
- ^
"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.
- ^ a b "Nvidia DLSS in 2020: stunning results". techspot.com. 2020-02-26. Retrieved 2020-04-05.