The second stage is an image upscaling step which uses the single raw, low-resolution frame to upscale the image to the desired output resolution. The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks.
4K BATTLEFIELD V 1080P
For example, a 1080p scene with a 50% render scale would have an internal resolution of 540p.
^ The linear render scale, compared to the output resolution, that the technology uses to render scenes internally before upsampling.For example, a scene rendered at 540p with a 2.00x scale factor would have an output resolution of 1080p. ^ The linear scale factor used for upsampling the input resolution to the output resolution.^ The algorithm does not necessarily need to be implemented using these presets it is possible for the implementer to define custom input and output resolutions.Quality presets Standard DLSS Presets Quality preset Predominantly spatial image upscaler, required specifically trained for each game integration, included in Battlefield V and Metro Exodus, among others ĭLSS 1.0 adapted for running on the CUDA shader cores instead of tensor cores, used for Control Īn AI accelerated form of TAAU using Tensor Cores, and trained generically ĭLSS 3.0, augmented with an optical flow frame-generation algorithm (only available on RTX 40-series GPUs) to double framerate ĭLSS 3.5 adds ray reconstruction, replacing multiple denoising algorithms with a single AI model trained on five times more data than DLSS 3. Despite sharing the DLSS branding, the two iterations of DLSS differ significantly and are not backwards-compatible. This time Nvidia said that it used the Tensor Cores again, and that the AI did not need to be trained specifically on each game. DLSS 2.0 was available for a few existing games including Control and Wolfenstein: Youngblood, and would later be added to many newly released games and game engines such as Unreal Engine and Unity.
4K BATTLEFIELD V DRIVER
In April 2020, Nvidia advertised and shipped an improved version of DLSS named DLSS 2.0 with driver version 445.75. In 2019, the video game Control shipped with ray tracing and an improved version of DLSS, which did not use the Tensor Cores. At that time, the results were limited to a few video games (namely Battlefield V and Metro Exodus) 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.
4K BATTLEFIELD V SERIES
Nvidia advertised DLSS as a key feature of the GeForce RTX 20 series cards when they launched in September 2018. 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 AI-assisted downsampling algorithm to achieve higher image quality than rendering at native resolution. Īs of September 2022, the 1st and 2nd generation of DLSS is available on all RTX branded cards from Nvidia in supported titles, while the 3rd generation unveiled at Nvidia's GTC 2022 event is exclusive to Ada Lovelace generation RTX 4000 series graphics cards. This allows for higher graphical settings and/or frame rates for a given output resolution, depending on user preference. 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. Deep learning super sampling ( DLSS) is a family of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are exclusive to its RTX line of graphics cards, and available in a number of video games.
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