Towards Open-Vocabulary ALS Point Clouds Semantic Segmentation: An Empirical Study
A zero-shot, open-vocabulary semantic segmentation framework for ALS point clouds based on 2D-3D transfer, utilizing three types of VFMs and introduces an adaptive global view projection module that derives optimal virtual camera poses and field-of-view (FOV) from scene extents, effectively enabling the application of 2D VFMs even in the absence of original imagery.