2D TO 3D LABEL PROPAGATION FOR THE SEMANTIC SEGMENTATION OF HERITAGE BUILDING POINT CLOUDS

10 citations as recorded by crossref.

1. Semantic Enrichment of Architectural Heritage Point Clouds Using Artificial Intelligence: The Palacio de Sástago in Zaragoza, Spain M. Buldo et al. https://doi.org/10.3390/heritage7120321
2. A Deep Learning Multiview Approach for the Semantic Segmentation of Heritage Building Point Clouds E. Pellis et al. https://doi.org/10.1080/15583058.2025.2485242
3. A Systematic Literature Review to Assist in Defining New Guidelines and Practical Handbooks for the Documentation of Built Heritage L. Teppati Losè & F. Rinaudo https://doi.org/10.3390/heritage8070249
4. Material augmented semantic segmentation of point clouds for building elements H. Liang et al. https://doi.org/10.1111/mice.13198
5. FTG-Net: A facade topology-aware graph network for class imbalance structural segmentation of building facades Y. Zang et al. https://doi.org/10.1016/j.isprsjprs.2025.07.014
6. Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review S. Yang et al. https://doi.org/10.3390/rs15030548
7. Machine Learning-Based Monitoring for Planning Climate-Resilient Conservation of Built Heritage L. Fiorini et al. https://doi.org/10.3390/drones8060249
8. Multimodal LLM-driven language-embedded 3D gaussian splatting for semantic and realistic digitization of historical buildings Z. Liang et al. https://doi.org/10.1016/j.autcon.2025.106628
9. Machine and Deep Learning Implementations for Heritage Building Information Modelling: A Critical Review of Theoretical and Applied Research A. Gil et al. https://doi.org/10.1145/3649442
10. Semi-automatic 3D frame modelling of wooden trusses using indoor point clouds R. Otero et al. https://doi.org/10.1016/j.istruc.2022.11.122