SEGA3D improves 3D vision-language segmentation on ScanNet and Matterport3D by operating on fine-grained masks with LLM-assisted selection, claiming gains of 8.3 and 5.3 mIoU over prior top methods.
Hexplane representation for 3d semantic scene understanding.arXiv preprint arXiv:2503.05127, 2025
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Segment and Select: Vision-Language Segmentation in 3D Scenarios
SEGA3D improves 3D vision-language segmentation on ScanNet and Matterport3D by operating on fine-grained masks with LLM-assisted selection, claiming gains of 8.3 and 5.3 mIoU over prior top methods.