AI RESEARCH
SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
arXiv CS.CV
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ArXi:2605.23345v1 Announce Type: new Interactive world models for first-person shooter (FPS) games must resolve high-frequency overlapping control signals at every frame without disrupting unaffected regions. Existing methods inject actions globally and train on single titles, failing under dense FPS inputs. We observe that FPS actions are spatially selective: discrete events such as firing or reloading affect only a localized region around the weapon (the scope), while continuous camera and movement signals govern stable surroundings.