SBP-Net: Learning Thin Structure Reconstruction

SBP-Net: Learning Thin Structure Reconstruction with Sliding-Box Projections

Announce Type: new Abstract: Reconstructing thin 3D structures is challenging due to their sparsity, scale variation, and complex geometry. Such structures arise in a wide range of domains, including medical imaging of vascular systems and industrial pipe systems. While recent neural methods perform well on dense surfaces, they often fail to recover fine thin geometries.