Controllable Crowd Generation through World-Model Planning
cs.CV
Submitted: 2026-10-07
Updated: 2026-10-07
Comments: 28 pages, 6 figures. Project page: https://jungyu0413.github.io/Ctrl-CWM
Project page: https://jungyu0413.github.io/Ctrl-CWM
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Scalable Multi-Agent Model-Based Reinforcement Learning
- World Models
- Dream to Control: Learning Behaviors by Latent Imagination
- Temporal Difference Learning for Model Predictive Control
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
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