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

TL;DR

This paper presents SRBIM, a unified framework that automates the generation of BIM models from 3D data, improving scalability and consistency in building information modeling.

Contribution

The paper introduces SRBIM, a novel architecture that automates BIM creation from 3D models, addressing the lack of a unified, scalable solution.

Findings

SRBIM achieves high accuracy in semantic reconstruction.

Extensive evaluations demonstrate its effectiveness.

Establishes a new paradigm for automated BIM modeling.

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.