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Casual images are now enough to generate high-fidelity, scene-aligned 3D objects with accurate pose, even from sparse observations.
Generative flow matching directly refines 4D hand-object interactions during synthesis, integrating physical constraints and 2D evidence without post-hoc optimization.
