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CVPR2025Top-tier venue

CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement

Yun Liu, Chengwen Zhang, Ruofan Xing, Bingda Tang, Bowen Yang, Li Yi

2025Year
20Top-tier citations

Abstract

github.io/ Figure 1. CORE4D is a large-scale diverse human-object-human interaction dataset for collaborative object rearrangement, encompassing real-world and synthetic branches. CORE4D-Real captures 1K human-object-human mesh sequences with allocentric and egocentric visual signals, while CORE4D-Synthetic retargets real-world data onto 3K virtual object shapes formulating 10K motion sequences.

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