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Deep learning anti-aliasing (DLAA), a type of spatial and temporal anti-aliasing method relying on dedicated tensor core processors Deep learning super sampling (DLSS), a family of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available in a number of video games.
Windows XP: 02.1: 14.4: Driver updates and support stopped at AMD Catalyst 14.4 for video cards with support up to DirectX 11 on Hardware, and 10.2 for DirectX 9.0c cards. [citation needed] Windows Vista: 7.2: 13.12: Driver updates and support stopped at AMD Catalyst 13.12 for video cards with support up to DirectX 11. [citation needed] Windows ...
Anti-aliasing is achieved by blending pixels in these borders, according to the pattern they belong to and their position within the pattern. [ 1 ] [ 2 ] [ 3 ] Enhanced subpixel morphological antialiasing, or SMAA, is an image-based GPU-based implementation of MLAA [ 4 ] developed by Universidad de Zaragoza and Crytek .
The input data is the rendered image and optionally the luminance data. [3]Acquire the luminance data. [3] This data could be passed into the FXAA algorithm from the rendering step as an alpha channel embedded into the image to be antialiased, calculated from the rendered image, or approximated by using the green channel as the luminance data.
Supersampling or supersampling anti-aliasing (SSAA) is a spatial anti-aliasing method, i.e. a method used to remove aliasing (jagged and pixelated edges, colloquially known as "jaggies") from images rendered in computer games or other computer programs that generate imagery. Aliasing occurs because unlike real-world objects, which have ...
As of September 2010, the latest available driver revisions from the Intel website for Windows XP, Vista and 7 are: [66] [67] IEGD Version 5.1 for Windows NT,2000 and XP (OpenGL only) Version 3.3.0 for Windows XP. (D3D only) Version 4.0.2 for Windows Vista. Version 5.0.0.2030 for Windows 7.
Conservative morphological anti-aliasing (CMAA) is an antialiasing technique originally developed by Filip Strugar at Intel. CMAA is an image-based, post processing technique similar to that of morphological antialiasing .
Multisample anti-aliasing (MSAA) is a type of spatial anti-aliasing, a technique used in computer graphics to remove jaggies. It is an optimization of supersampling, where only the necessary parts are sampled more. Jaggies are only noticed in a small area, so the area is quickly found, and only that is anti-aliased.
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