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Auteurs principaux: Cheung, Ka Lung, Lee, Chi Chung
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2406.01480
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author Cheung, Ka Lung
Lee, Chi Chung
author_facet Cheung, Ka Lung
Lee, Chi Chung
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_01480
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
Cheung, Ka Lung
Lee, Chi Chung
Computer Vision and Pattern Recognition
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.
title Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2406.01480