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Synapse
October 9, 2025Open Access

MultiModal Action Conditioned Video Generation

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Authors

YLYichen LiATAntonio Torralba

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Overview

This work demonstrates improved simulation accuracy in video generation using multimodal senses, indicating enhanced interaction dynamics.

Key Points

  • Incorporating multimodal senses significantly improves video simulation accuracy and reduces temporal drift.
  • Experiments show a clear enhancement in action trajectory representation by utilizing fine-grained multimodal conditions.
  • A regularization scheme effectively enhances the causality of interaction dynamics within the generated videos.
  • Ablation studies reveal the practicality and effectiveness of the proposed feature learning paradigm.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68e7d631bd66d359be6266e3https://doi.org/10.48550/arxiv.2510.02287
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