arXiv Computer Vision
GameDirector: Decoupling Gameplay Logic from Rendering for Player-Configurable Game World Models
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WorldMind: Decoupled Game World Model for State-Aware NPC Behavior
WorldMind is a decoupled framework for state-aware NPC behavior in game world models, separating interactive world modeling into four layers: Understanding, Decision, Control, and Generation. It constructs a compact state from generated frames, reasons over it to plan NPC actions, translates actions into temporally aligned conditions, and synthesizes visual outcomes. Experiments on the newly introduced BOSS-140K dataset show that WorldMind achieves more tactically appropriate and coherent NPC behavior than baseline models in about 70% of pairwise comparisons.
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Programmable World Model
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arXiv Computer Vision
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Magpie: Real-Time World Renderer for Interactive Games
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arXiv Computer Vision
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Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training
arXiv:2608.24680v1 Announce Type: new Abstract: Video games provide a scalable source of training data for video world models, offering diverse environments, complex interactions, and abundant in-the...