Author

Mingyu Zhang

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#artificial intelligence Jun 2026

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration

HAT-4D is proposed, the first agentic framework designed to reconstruct the 3D geometry, temporal dynamics, and physical interactions of multiple objects from a single video, accompanied by a novel multi-dimensional evaluation protocol focused on physical plausibility and temporal consistency.

Jia-Xin Li, Yu-Xiang Wu, Zhenkai Zhang et al. · arXiv.org · 0 citations

Preprint Aug 2026

Population-Scalable Multi-Agent World Modeling

Kora is proposed, a scalable multi-agent world model that supports inference-time expansion to arbitrary numbers of agents without retraining and decouples world-state evolution from visual rendering and introduces a population-agnostic rendering mechanism for incorporating other agent information.

Renjie Zhao, Yu-Xiang Wu, Mingyu Zhang et al. · 1 citation