Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery

ArXi:2605.13854v1 Announce Type: new Multi-person 3D reconstruction is pivotal for real-world interaction analysis, yet remains challenging due to severe occlusions and depth ambiguity. Current approaches typically rely on single-modality inputs, which inherently lack geometric guidance. Furthermore, these methods often reconstruct subjects in isolation, neglecting the collective group context essential for resolving ambiguities in crowded scenes.