Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
庞若鸣的闪电离开，是Meta核心AI团队在过去一年流失的又一员大将。
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And Blue Origin responded, "Let's go! We're all in!"