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October 16, 2025Open Access

CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion

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The CoopDiff framework significantly enhances 3D human-object interaction prediction by decoupling human and object motion.
Our system employs a contact-consistent approach, yielding better coherence in human-object dynamics during actions.
Extensive evaluations demonstrate that CoopDiff surpasses current state-of-the-art methods in performance metrics.
The reliance on human-driven interaction modules illustrates the importance of shared contact points for reliable motion modeling.

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Proposed CoopDiff improves motion prediction in 3D human-object interactions, suggesting effective modeling with contact points.

Lin et al. (2025) studied this question.

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