AI RESEARCH
D-Prism: Differentiable Primitives for Structured Dynamic Modeling
arXiv CS.CV
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ArXi:2604.17082v1 Announce Type: new Capturing both geometry and rigid motion for structured dynamic objects, like multi-part assemblies or jointed mechanisms, remains a key challenge. Existing dynamic methods, such as deformable meshes or 3DGS, rely on unstructured representations and fail to jointly model suitable geometry and articulated motion. Primitive-based methods excel at structured static scenes, but their dynamic potential is still unexplored.