Deep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available...
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relying on dedicated tensor core processors Deep learning super sampling (DLSS), a family of real-time deep learning image enhancement and upscaling technologies...
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Nintendo Switch 2 (redirect from Super Nintendo Switch)
to original Switch games on Switch 2. PC Gamer wrote that the Deep Learning Super Sampling graphics technology made games like Cyberpunk 2077 "subjectively...
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Tensor Cores available in Nvidia RTX cards. DLAA is similar to Deep Learning Super Sampling (DLSS) in its anti-aliasing method, with one important differentiation...
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GeForce RTX 20 series (redirect from GeForce RTX Super series)
cast; also another application of the Tensor cores is DLSS (deep learning super-sampling), a new method to replace anti-aliasing, by artificially generating...
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Image scaling (section Box sampling)
two-dimensional example of sample-rate conversion, the conversion of a discrete signal from a sampling rate (in this case, the local sampling rate) to another....
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In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...
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was added in May 2019. Support for Nvidia's Deep Learning Super Sampling (DLSS) and AMD's FidelityFX Super Resolution (FSR) were added in July 2021 and...
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Supersampling (redirect from Super sampling)
tracing (graphics) Framebuffer Game engine Image scaling 2×SaI Deep Learning Super Sampling "Anti-aliasing techniques comparison". sapphirenation.net. 2016-11-29...
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have been necessary on sub-200W cards. The fourth generation of Deep Learning Super Sampling (DLSS) was unveiled alongside the RTX 50 series. DLSS 4 upscaling...
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Tensor (AI) cores artificial intelligence large matrix operations Deep Learning Super Sampling (DLSS) Nvidia Optical Flow Accelerator for video interpolation...
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that the game would not support deep learning super sampling (DLSS) or XeSS, both considered superior to FidelityFX Super Resolution (FSR), and that the...
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Multisample anti-aliasing Fast approximate anti-aliasing Deep learning super sampling Deep learning anti-aliasing Supersampling Deinterlacing Spatial anti-aliasing...
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design since Volta introduces AI deep learning acceleration, which allows the utilisation of DLSS (Deep Learning Super Sampling), a new form of anti-aliasing...
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Nvidia DGX (redirect from Nvidia DGX SuperPod)
available in summer 2025. Comparison of accelerators used in DGX: Deep Learning Super Sampling "nvidia dgx-1" (PDF). Retrieved 15 November 2023. "inside pascal"...
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additional graphic options support for Windows, including Nvidia's Deep Learning Super Sampling (DLSS) technology and ultra-widescreen support. This in turn...
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games. AMD's FidelityFX Super Resolution, an image upscaling technology competitor to Nvidia's deep learning super sampling (DLSS) to enable higher resolutions...
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solution or through Proton. Support for Nvidia's proprietary deep learning super sampling (DLSS) on supported video cards and games was added to Proton...
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hardware-accelerated ray tracing on the PC version. Support for Nvidia's Deep Learning Super Sampling (DLSS) was added later in April 2021. Activision stated that...
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learning algorithm for hidden units, i.e., deep learning. Fundamental research was conducted on ANNs in the 1960s and 1970s. The first working deep learning...
169 KB (17,641 words) - 21:58, 27 June 2025
the Head, using motion capture for the game. The game supports Deep learning super sampling DLSS (Nvidia GPU) and ray tracing technology. In 2020, 560 GB...
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No Man's Sky was one of the first titles to support NVidia's Deep learning super sampling (DLSS) technology for VR games with a patch in May 2021. In 2014...
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chess) after a few days of play against itself using reinforcement learning. DeepMind has since trained models for game-playing (MuZero, AlphaStar), for...
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locked entrance. The game uses Unreal Engine 4 and supports deep learning super sampling (DLSS). In contrast to soundtracks, such as the recordings for...
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applications of deep learning in PACT have branched out primarily into removing artifacts from acoustic reflections, sparse sampling, limited-view, and...
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the current research in active learning involves the best method to choose the data points for TC,i. Pool-based sampling: In this approach, which is the...
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would be using the Unreal Engine 4 and feature ray-tracing and deep learning super sampling (DLSS) with development support from Nvidia. A playable demo...
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control, procedural content generation (PCG) and deep learning-based content generation. Machine learning is a subset of artificial intelligence that uses...
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Generative adversarial network (category Unsupervised learning)
Realistic artificially generated media Deep learning – Branch of machine learning Diffusion model – Deep learning algorithm Generative artificial intelligence –...
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the use of super-resolution for 3D data has also been shown. There is promising research on using deep convolutional networks to perform super-resolution...
28 KB (3,041 words) - 05:53, 24 June 2025