Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment

2024-06-03Code Available1· sign in to hype

Ka Lung Cheung, Chi Chung Lee

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Code

github.com/Semanticity-Research/SRBIM
OfficialIn paperpytorch★ 14

Abstract

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.

Tasks

3D Architecture 3D Semantic Segmentation 3D Surface Generation Extracting Buildings In Remote Sensing Images Indoor Scene Reconstruction Surface Reconstruction

Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment

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Abstract

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