3D Congealing: Aligning Semantically Similar Objects in 3D from Unconstrained Image Collections
Given a collection of unlabeled images capturing semantically similar objects, the goal is to infer a canonical 3D representation that encapsulates the shared geometric and semantic information, and to establish dense 2D-3D correspondences between the input images and the canonical 3D space.