Contrastive multi-modal hypergraph reasoning fuses semantic, geometric, and pose cues to achieve state-of-the-art 3D crowd mesh recovery under severe occlusions.
Specif- ically, we provide quantitative evaluations on crowd-level spatial metrics and qualitative visualizations to demonstrate step-by-step improvements of our CoMHR framework
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Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery
Contrastive multi-modal hypergraph reasoning fuses semantic, geometric, and pose cues to achieve state-of-the-art 3D crowd mesh recovery under severe occlusions.