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IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training

Tang, Rongze et al.
arXiv (All) · Papers
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robotics
World models have made remarkable progress in action-conditioned future prediction for embodied agents, yet still struggle to model physically plausible interactions. Existing approaches address this limitation by constraining the generation process with external representations encoding motion, geo
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