We introduce MagicPose4D, a novel framework for 4D generation providing more accurate and customizable 4D motion retargeting. We propose a dual-phase reconstruction process that initially uses accurate 2D and pseudo 3D supervision without skeleton constraints, and subsequently refines the model with skeleton constraints to ensure physical plausibility. We incorporate a novel Global-Local Chamfer loss function that aligns the overall distribution of mesh vertices with the supervision and maintains part-level alignment without additional annotations. Our method enables cross-category motion transfer using a kinematic-chain-based skeleton, ensuring smooth transitions between frames through dynamic rigidity and achieving robust generalization without the need for additional training.
