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.
Category-level global camera pose estimation with multi-hypothesis point cloud correspondences
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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.