3D RECONSTRUCTION OF SIMPLE BUILDINGS FROM POINT CLOUDS USING NEURAL NETWORKS WITH CONTINUOUS CONVOLUTIONS (CONVPOINT)

6 citations as recorded by crossref.

1. Localized urbogeosystemic analsis through lidar data for formalized urban population estimation S. Kostrikov & D. Serohin https://doi.org/10.26565/2076-1333-2024-36-01
2. Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement S. Li et al. https://doi.org/10.3390/rs16224324
3. 3D Visual Reconstruction as Prior Information for First Responder Localization and Visualization S. Kaiser et al. https://doi.org/10.3390/s23187785
4. Large-Scale LoD2 Building Modeling using Deep Multimodal Feature Fusion F. Soleimani Vostikolaei & S. Jabari https://doi.org/10.1080/07038992.2023.2236243
5. Points2Model: a neural-guided 3D building wireframe reconstruction from airborne LiDAR point clouds P. Akwensi et al. https://doi.org/10.1080/17538947.2025.2458682
6. Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv S. Kostrikov & D. Serohin https://doi.org/10.1080/22797254.2025.2491750