PS3: Part level instance segmentation in 3D
HONG-XUAN YEN · Chiamin Chen · Yanqing Wang · Yu-Lun Liu · Min Sun
Abstract
Open-vocabulary 3D segmentation allows exploration of 3D environments using unrestricted natural language queries. Current approaches to open-vocabulary 3D instance segmentation largely concentrate on recognizing object-level instances but face difficulties when dealing with more fine-grained elements of a scene, such as object parts. Some previous work constructs hierarchical open-vocabulary 3D scene representations by geometric over-segmentation, which can't identify parts with similar geometry. In this work, we introduce PS3, an approach to generate 3D part proposals from multi-view 2D masks. PS3 outperforms baselines that rely on geometric over-segmentation in scene-scale open-vocabulary 3D part segmentation.
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