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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 ...
The neural networks are trained on a per-game basis by generating a "perfect frame" using traditional supersampling to 64 samples per pixel, as well as the motion vectors for each frame. The data collected must be as comprehensive as possible, including as many levels, times of day, graphical settings, resolutions, etc. as possible.
Create a test map in your sandbox. You'll need to use {} together with the Wikidata ID of the shape. As an example: {{maplink|frame=yes|type=shape|id=Q160236}} If it displays, great. You can use the map and add parameters to make it display to your liking. If the map data does not populate, the below methods are straight-forward and reliable:
(This is not the same as supersampling but, by the OpenGL 1.5 specification, [2] the definition had been updated to include fully supersampling implementations as well.) In graphics literature in general, "multisampling" refers to any special case of supersampling where some components of the final image are not fully supersampled.
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.
The "jitter" is a 2D offset that shifts the pixel grid, and its X and Y magnitude are between 0 and 1. [ 2 ] [ 3 ] When combining pixels sampled in past frames with pixels sampled in the current frame, care needs to be taken to avoid blending pixels that contain different objects, which would produce ghosting or motion-blurring artifacts.
Maps are useful in presenting key facts within a geographical context and enabling a descriptive overview of a complex concept to be accessed easily and quickly. WikiProject Maps encourages the creation of free maps and their upload on Wikimedia Commons. On the project's pages can be found advice, tools, links to resources, and map conventions.
In creating geographical maps for Wikipedia, it is often useful to have high-quality source material such as blank outline maps, Adobe Photoshop or GIMP-format images with layers, SVG files and so on. If you have such source material that you think may be helpful to other map authors, please feel free to upload it to Wikipedia and list it here.