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Injecting explicit Pl眉cker-ray geometry and local feature sampling into foundation vision backbones drives egocentric 3D hand-object interaction error down to sub-3cm precision.
Achieving the lowest FID among parameter-free regularizers, SPARE accelerates training of diffusion models without adding complexity or memory overhead.
