StatePlay: Enforcing Mechanics Rules in Game World Models
Zijun Lin · hf · 2026-07-30
While recent game world models generate visually realistic environments, they often ignore underlying game mechanics like health points and skill cooldowns. The paper introduces StatePlay, a state-aware game world model.
- Architecture: Employs a Mixture-of-Transformers (MoT)-style architecture to preserve specialized visual and state representations while enabling cross-modal interaction, allowing predicted states to guide frame generation.
- Optimization: Each branch is optimized with a distinct objective suited to its specific modality.
- Results: Achieves an average normalized L1 distance below 0.06 for state prediction. Improves mechanics fidelity in generated rollouts by 18.6% compared to models without explicit state modeling.
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