Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction
3D multi-person motion prediction requires modeling both individual kinematics and inter-person interactions. While Flow Matching is effective for multi-hypothesis generation to improve prediction accuracy, directly predicting skeletal sequences from pure noise often compromises structural consistency and introduces unreliable cross-agent interactions during early noise-dominated integration steps. To address this, we propose a Prior-Guided Residual Flow Matching framework. First, a Deterministic Coarse Prior (DCP) establishes a kinematic anchor, formulating the generative process as a conditional flow over motion residuals to simplify the generative objective and preserve structural stab...
| Authors | Wei Wei, Yinyuan Zhao, Ruixuan Yu |
|---|---|
| Primary category | cs.CV |
| Published | 4 August 2026 |
| Last updated at source | 27 August 2026 |
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