Author

Haoyuan Wang

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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

Jun 2026

Directing the World: Fast Autoregressive Video Generation with Compositional Human-Camera Control

This work proposes "Directing the World", a fast autoregressive framework for controllable world-model video generation with compositional human-motion and camera-trajectory control, and introduces a Fast-Slow Memory training strategy to stabilize long-horizon rollout learning and improve convergence.

Haoyuan Wang, Yabo Chen, Haibin Huang et al. · arXiv.org · 1 citation