AI RESEARCH
LESV: Language Embedded Sparse Voxel Fusion for Open-Vocabulary 3D Scene Understanding
arXiv CS.CV
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ArXi:2604.01388v1 Announce Type: new Recent advancements in open-vocabulary 3D scene understanding heavily rely on 3D Gaussian Splatting (3DGS) to register vision-language features into 3D space. However, we identify two critical limitations in these approaches: the spatial ambiguity arising from unstructured, overlapping Gaussians which necessitates probabilistic feature registration, and the multi-level semantic ambiguity caused by pooling features over object-level masks, which dilutes fine-grained details.