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This chart shows the most common display resolutions, with the color of each resolution type indicating the display ratio (e.g., red indicates a 4:3 ratio).
Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [5] At that time, the results were limited to a few video games, namely Battlefield V, [6] or 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.
Early 1440p computer displays became commonly available in 2010. Dell's UltraSharp U2711 monitor was released in 2010 as WQHD, with a 1440p widescreen. [1] The 27-inch Apple LED Cinema Display released in 2010 also had a native resolution of 2560 × 1440, as did the Apple Thunderbolt Display which was sold from July 2011 to June 2016.
QHD (Quad HD) or 1440p is a display resolution of 2560 × 1440 pixels. [ 13 ] [ 14 ] The name "QHD" reflects the fact that it has four times as many pixels as HD (720p). It is also sometimes called "WQHD" [ 15 ] [ 16 ] to distinguish it from qHD ( 960 × 540 ), otherwise it is technically redundant since the HD resolutions are all widescreen ...
It is divided into three categories, containing smartphones with 720p, 1080p and 1440p displays. The "p-display" nomenclature used in this article refers to the number of pixels displayed across the width of a given phone's screen. Earlier phones with lower than 720p (lower than HD ready resolution) are not included in this listing.
Smartphones with 1080p Full HD display have been available on the market since 2012. [22] As of 2014, it is the standard for mid-range to high-end smartphones and many of the flagship devices of 2014 used even higher resolutions, either Quad HD (1440p) or Ultra HD (2160p) resolutions.
Man, I wish @PatMcAfeeShow would’ve let him keep going! It just got good. I don’t know about the Vax stuff, but shoot he almost put a name on it. It’s a lapel pin BTW!! 馃槀馃槀馃槀馃槀 ...
Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...
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