2022
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence
AAAI 2022technical
Understanding an articulated 3D object with its movable parts is an essential skill for an intelligent agent. This paper presents a novel approach to parse 3D part mobility from point cloud sequences. The key innovation is learning explicit point correspondence from a raw unordered point cloud seque…