ROOF3D: A REAL AND SYNTHETIC DATA COLLECTION FOR INDIVIDUAL BUILDING ROOF PLANE AND BUILDING SECTIONS DETECTION

7 citations as recorded by crossref.

1. Automated LoD2 Building Reconstruction Using Bimodal Segmentation F. Vostikolaei & S. Jabari https://doi.org/10.1109/JSTARS.2025.3602414
2. Unlocking solar potential through machine learning techniques for roof geometry prediction- A review D. Shata et al. https://doi.org/10.1016/j.solener.2025.113994
3. Assessment of Rooftop Potential for Solar Energy and Rainwater Harvesting in Islamabad: A Geospatial Approach towards Sustainable Urban Development M. Saleem et al. https://doi.org/10.33411/IJIST/877
4. PLANES4LOD2: Reconstruction of LoD-2 building models using a depth attention-based fully convolutional neural network P. Schuegraf et al. https://doi.org/10.1016/j.isprsjprs.2024.04.015
5. SemGeoNet: Semantic–Geometric Synergy Network for Optical Image-Guided Digital Surface Model Super-Resolution J. Song & Q. Wang https://doi.org/10.1109/JSTARS.2026.3726775
6. A Lightweight Geometric Consistency Enhancement for One-Stage Architectural Line Segment Detection Z. Yang et al. https://doi.org/10.1109/ACCESS.2026.3714552
7. Integrating Spatial Context With Generative Model for Building Reconstruction From Airborne LiDAR Point Clouds Y. Zhao et al. https://doi.org/10.1109/TGRS.2026.3670027