A pipeline that renders raw urban point clouds into virtual multi-view images, extracts mask-level vision-language features, and distills them into a 3D backbone, enabling open-vocabulary text-query segmentation without aligned images or annotations.
Point cloud modeling as a bridge between landscape design and planning,
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OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
A pipeline that renders raw urban point clouds into virtual multi-view images, extracts mask-level vision-language features, and distills them into a 3D backbone, enabling open-vocabulary text-query segmentation without aligned images or annotations.