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Preprint Aug 2026

CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport

CoverPrune is introduced, a training-free framework that formulates inference-time token pruning as an Optimal Transport (OT) problem, and the Feature-Spatial-Temporal (FST) transport cost and target capacity, along with an efficient Spatial-Guided Greedy Selection (SGS) algorithm to approximate the OT objective.

Peng Ling, Ying-Da Yin, Ling-Ting Zhu et al. · 0 citations

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