ReScene introduces HierView for view prioritization and Relation-Aware Assembly for scene graph fusion, reporting 17% lower Chamfer Distance and 26% lower LPIPS than prior baselines on ScanNet while running faster.
MetaScenes: Towards automated replica cre- ation for real-world 3D scans,
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A zero-shot pipeline using SLAM, SAM segmentation, clustering and VLM multi-view reasoning produces semantic maps with object class and movability labels, reporting 98.93% mIoU and 89.17% mAcc on intralogistics data.
citing papers explorer
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ReScene: Structured Indoor Scene Reconstruction from Multi-View Captures
ReScene introduces HierView for view prioritization and Relation-Aware Assembly for scene graph fusion, reporting 17% lower Chamfer Distance and 26% lower LPIPS than prior baselines on ScanNet while running faster.
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Vision-Language Model Reasoning for Contextual Semantic Mapping in Intralogistics
A zero-shot pipeline using SLAM, SAM segmentation, clustering and VLM multi-view reasoning produces semantic maps with object class and movability labels, reporting 98.93% mIoU and 89.17% mAcc on intralogistics data.