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Sparse-view 3D reconstruction now generates its own reliable supervision from limited geometry and 2D priors, overcoming the limitations of traditional reprojection errors and heuristic density control.
Motion transfer can now succeed across vastly different object categories, achieving state-of-the-art fidelity without relying on fixed structural correspondences.