Papers by Sihwan Park

1 papers
Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge (2026.acl-long)

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Challenge: Existing text-to-video models struggle to accurately simulate real-world physics and dynamic entity interactions.
Approach: They propose a framework that integrates graph-structured temporal knowledge into video latent diffusion models to enhance compositional generation and interaction fidelity.
Outcome: The proposed framework enhances compositional generation and interaction fidelity by integrating graph-structured temporal knowledge into video latent diffusion models.

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