AI RESEARCH
A Dataset and Evaluation for Complex 4D Markerless Human Motion Capture
arXiv CS.CV
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ArXi:2604.12765v1 Announce Type: new Marker-based motion capture (MoCap) systems have long been the gold standard for accurate 4D human modeling, yet their reliance on specialized hardware and markers limits scalability and real-world deployment. Advancing reliable markerless 4D human motion capture requires datasets that reflect the complexity of real-world human interactions. Yet, existing benchmarks often lack realistic multi-person dynamics, severe occlusions, and challenging interaction patterns, leading to a persistent domain gap.