arXiv:2406.01480
공식 코드 · Papers with Code
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
원문 초록
The adoption of Building Information Modeling (BIM) is beneficial in construction projects. However, it faces challenges due to the lack of a unified and scalable framework for converting 3D model details into BIM. This paper introduces SRBIM, a unified semantic reconstruction architecture for BIM generation. Our approach's effectiveness is demonstrated through extensive qualitative and quantitative evaluations, establishing a new paradigm for automated BIM modeling.
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seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
Sonata: Self-Supervised Learning of Reliable Point Representations
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
토론
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