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One by-product of weighing the candidates by their distance is that the resulting output image is prone to false contours or banding. Increasing reduces this effect at the cost of added granularity or high frequency noise due to the introduction of ever more distant colours to the set. I recommend taking a look at the original paper if you’re interested in learning a bit more about the algorithm[1].

此前发布了 BabyVision 评测基准的 UniPat AI 在最新的 Blog《UniScientist: Advancing Universal Scientific Research Intelligence》中给出了一个清晰而系统的答案。

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