This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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但无论如何,如果这条路跑通,苹果最恐怖的「生态护城河」将顺势流淌进 AI 时代,与之相随的,是数十亿用户的肌肉记忆和操作习惯。这对于任何一家致力于打造 AI 硬件的厂家来说,都是致命威胁。
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