An optimization-based method uses one dynamic 3D Gaussian per rigid part to jointly estimate part segmentation, part motion, and kinematic structure from point cloud sequences without point correspondences.
Learning to generalize kinematic models to novel objects
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Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
An optimization-based method uses one dynamic 3D Gaussian per rigid part to jointly estimate part segmentation, part motion, and kinematic structure from point cloud sequences without point correspondences.