AI RESEARCH
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
arXiv CS.CV
•
ArXi:2604.28130v1 Announce Type: new Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK) stage recovers joint rotations. While effective, this design is inherently limited, since joint positions do not fully determine rotations and leave degrees of freedom such as bone-axis twist ambiguous, and the non-differentiable IK stage prevents the system from adapting to noisy predictions or optimizing for the final animation objective.