A Scan-To-BIM Approach For Renovating Existing Building Rooms Using Surface Reconstruction and Deep Learning

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The proposed method improves the automation of as-built BIM model generation for existing buildings.
Using a combination of surface reconstruction and deep learning, room interiors can be accurately modeled with minimal effort.
The generated surface model, compatible with industry standards, allows for advanced analyses like CFD.
The integration of accessible 3D scanning technology via mobile devices facilitates broader application in the AEC industry.

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This study demonstrates a new scan-to-BIM approach integrating deep learning and point cloud data, enhancing renovation efficiency.

Soe et al. (2025) studied this question.

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