  As we begin to consider modeling large, realistic 3D building scenes, it
becomes necessary to consider a more compact representation over the polygonal
mesh model. Due to the large amounts of annotated training data, which is
costly to obtain, we leverage synthetic data to train our system for the
satellite image domain. By utilizing the synthetic data, we formulate the
building decomposition as an application of instance segmentation and primitive
fitting to decompose a building into a set of primitive shapes. Experimental
results on WorldView-3 satellite image dataset demonstrate the effectiveness of
our 3D building modeling approach.
