ActionRoPE: action as coordinates for spatially consistent control in planar-camera game world models
To this end, we introduce ActionRoPE, a parameter-free action interface that converts action-driven camera displacement into world-coordinate rotary positions.
ProofPaper ↗
Key points
- Game world models have made rapid progress toward real-time interactive generation.
- Yet action control is still predominantly implemented as feature conditioning, leaving the model to learn from training data how each action should move the visual world.
- In these worlds, player motion induces a geometrically well-defined planar camera displacement.
- We observe that the key to spatially consistent control in such worlds is to represent the effect of each action directly in world coordinates.
Sources (2)
- [1]ActionRoPE: action as coordinates for spatially consistent control in planar-camera game world modelsHugging Face Daily Papers · Oct 19, 12:00 AM
To this end, we introduce ActionRoPE, a parameter-free action interface that converts action-driven camera displacement into world-coordinate rotary positions.
Game world models have made rapid progress toward real-time interactive generation.
- [2]ActionRoPE: action as coordinates for spatially consistent control in planar-camera game world modelsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 06:16 AM · same content
Extractive summary: sentences quoted from the sources.
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