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Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion

L5 · ResearcherResearcharXiv· 10/13/2026

Advances computer vision research with a unified approach to motion completion across diverse geometry families without retraining.

AI Summary

Cepheid introduces a novel method for cross-family motion completion by decoupling residual structure from physical scale using a dimensionless prior.

Excerpt

Sparse-to-dense motion completion recovers dense mesh motion from sparse vertex displacements. Residual priors trained on one geometry family frequently fail to beat parameter-free harmonic extension off-family. Moreover, cross-family training meets a scaling barrier: residual amplitude varies by more than an order of magnitude across geometry families and collapses as observations become denser. Since this scale depends on unknown target motion, it cannot be measured directly at test time. We d

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