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Found 4 papers, 4 papers with code
Building-PCC: Building Point Cloud Completion Benchmarks
With the rapid advancement of 3D sensing technologies, obtaining 3D shape information of objects has become increasingly convenient.
Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction
However, using such point clouds for traditional plane detection-based methods can result in significant errors and introduce noise into the reconstructed building models.
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
The over-segmentation step generates an initial set of mesh segments that capture the planar and non-planar regions of urban scenes.
SUM: A Benchmark Dataset of Semantic Urban Meshes
The contributions of this work are threefold: (1) a new benchmark dataset of semantic urban meshes, (2) a novel semi-automatic annotation framework, and (3) an annotation tool for 3D meshes.
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