MOPD improves openable part detection and motion parameter prediction by fusing perceptual grouping and geometric priors from foundation models into a two-decoder transformer with a motion-aware optimal transport matching cost.
In: Computer Graphics Forum
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Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model Priors
MOPD improves openable part detection and motion parameter prediction by fusing perceptual grouping and geometric priors from foundation models into a two-decoder transformer with a motion-aware optimal transport matching cost.