CONNECTING GEOMETRY AND SEMANTICS VIA ARTIFICIAL INTELLIGENCE: FROM 3D CLASSIFICATION OF HERITAGE DATA TO H-BIM REPRESENTATIONS

10 citations as recorded by crossref.

1. Modern Construction Technologies in the Reconstruction of Architectural Objects: Balance between Authenticity and Innovation A. Myronenko https://doi.org/10.70315/uloap.ulahu.2022.001
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3. Navigating Ethics and Innovation: The Role of AI in Cultural Heritage B. Wibawa & Z. Rusnalasari https://doi.org/10.61978/harmonia.v2i4.905
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6. Machine Learning for the Semi-Automatic 3D Decay Segmentation and Mapping of Heritage Assets R. Galantucci et al. https://doi.org/10.1080/15583058.2023.2287152
7. Artificial Intelligence at the Interface between Cultural Heritage and Photography: A Systematic Literature Review C. Silva & L. Oliveira https://doi.org/10.3390/heritage7070180
8. Automating the retrospective generation of As-is BIM models using machine learning P. Schönfelder et al. https://doi.org/10.1016/j.autcon.2023.104937
9. Limited-data transfer learning for semantic segmentation and pre-labeling of 3D shell construction LiDAR scans L. Rauch & T. Braml https://doi.org/10.36680/j.itcon.2026.022
10. Visual Renovation of Cultural Heritage Buildings through Advanced Construction Materials - 2D-Printed Protective Cladding on Facade Scaffolds V. Tepeliev https://doi.org/10.4028/p-ZDn34N