Overview
Field: Computer Vision (CV) Authors: Hanlin Wang, Hao Ouyang, Qiuyu Wang arXiv: 2507.00485
Abstract
We present WorldDirector, a highly controllable video world model framework designed for persistent dynamic object memory and unrestricted viewpoint exploration. Unlike existing world models that entangle physical dynamics with pixel rendering and rely on continuous visual observation to sustain motion, our framework explicitly decouples semantic motion orchestration from visual generation.
By leveraging an LLM to coordinate 3D trajectories with camera movements and subsequently employing these orchestrated trajectories as control signals for video generation, our approach ensures strict physical logic and appearance stability, successfully preserving the exact visual identities of dynamic entities even when they re-enter the scene after prolonged periods out of view.
Experimental results demonstrate that our method supports synthesizing complex and sustained events with unprecedented controllability and persistent dynamic object memory.
Key Ideas
- Decoupled architecture: separates semantic motion orchestration from visual generation, avoiding the entanglement of physical dynamics with pixel rendering.
- LLM-driven orchestration: a large language model coordinates 3D object trajectories with camera movements.
- Trajectory-conditioned generation: orchestrated trajectories serve as control signals for the video generation model.
- Persistent object memory: dynamic entities retain their exact visual identity even after extended periods out of view.
- Free viewpoint exploration: supports unrestricted camera control while maintaining physical consistency.