Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video

ArXi:2605.18645v1 Announce Type: new Retrieving the 3D kinematics of articulated objects from monocular video is a fundamental challenge in computer vision. Existing methods rely on complex video setups or cues such as long-term point tracking or wide-baseline matching, but are frequently brittle under severe occlusions, rapid camera ego-motion, or weak local features. Learning-based methods, meanwhile, struggle to generalize beyond their