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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Install the CLIlune papers fulltext e21b8e7a-efc9-4111-940f-98fdbbf503b2Cited by top-tier papers20
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