Learnable Earth Parser: Unsupervised Decomposition of Large-Scale Aerial 3D Scans into Interpretable Prototypes

An unsupervised deep learning method that decomposes large-scale aerial 3D point clouds into a small set of learned prototypical 3D shapes, enabling interpretable reconstruction, semantic segmentation, and instance segmentation of complex real-world scenes.