Ruitao Pan

Learning Upright and Forward-Facing Object Poses using Category-level Canonical Representations

Constructing a unified canonical pose representation for 3D object categories is crucial for pose estimation and robotic scene understanding. Previous unified pose representations often relied on manual alignment, such as in ShapeNet and ModelNet. Recently, self-supervised canonicalization methods h