![]() ![]() This allows using the anti-aliasing feature of DLSS without relying on the upscaling feature, and as the input resolution is much higher than otherwise, the anti-aliasing feature has more details and data to work with. Nvidia's Deep Learning Anti-Aliasing (DLAA) method works by using their Deep Learning Super Sampling (DLSS) algorithm but providing it with a frame rendered at native resolution, identical to that of the desired output target. This creates smoother and more cinematic images in the game, while only slightly increasing the load on the video card. There are several terms associated with anti-aliasing, most of which are derivatives on the standard anti-aliasing formula.Īpplies anti-aliasing not only to the current frame but also to some frames that were rendered before, restoring the old positions of pixels by using their velocity. In video games this is represented by a simple number which is a power of 2 like 2x, 4x, 8x etc. Those algorithms are also variable on how many pixels they use to determine one final pixel. How they "mix" the multiple rendered pixels to get the final pixel.How they determine which pixels are aliased.The techniques only differ on two factors: ![]() They simply render multiple pixels per pixel of the final image. There are a number of anti-aliasing techniques today but all of them are based on the same principle. 6.1 Hybrid Reconstruction Anti-Aliasing (HRAA)Įxample of anti-aliasing No Anti-aliasing.5.3 Temporal Super-Sampling Anti-Aliasing (TSSAA).4.6 Directionally Localized Anti-Aliasing.4.5 Conservative Morphological Anti-Aliasing (CMAA).4.4 Subpixel Reconstruction Anti-Aliasing (SRAA).4.3 Subpixel Morphological Anti-Aliasing (SMAA).4.1 Fast Approximate Anti-Aliasing (FXAA).3.7 Hybrid-Sampling Anti-Aliasing (HSAA).3.6 Sparse Grid Super-Sampling Anti-Aliasing (SGSSAA).3.5 Enhanced Quality Anti-Aliasing (EQAA).3.4 Quincunx Super Anti-Aliasing (QSAA).3.3 Coverage Sampling Anti-Aliasing (CSAA).3.1 Super-Sampling Anti-Aliasing (SSAA). ![]()
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