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
2. Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement S. Li et al.
3. 3D Visual Reconstruction as Prior Information for First Responder Localization and Visualization S. Kaiser et al.
4. Large-Scale LoD2 Building Modeling using Deep Multimodal Feature Fusion F. Soleimani Vostikolaei & S. Jabari
5. Points2Model: a neural-guided 3D building wireframe reconstruction from airborne LiDAR point clouds P. Akwensi et al.
6. Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv S. Kostrikov & D. Serohin