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arXiv 2610.31668 · cs.CV · 2026-10-22

Reading, Writing, Sharing, and Interacting with the World through Video

Shengqiong Wu, Meng Luo, Bobo Li, Ziwei Liu, Shuicheng Yan, Ming-Hsuan Yang, Philip Torr, Hao Fei

University of Oxford

New paper

One-line takeaway

This survey unifies video understanding and generation through world modeling, focusing on four operations: reading, writing, sharing, and interaction, shifting from clip-level recognition to persistent, causal state modeling.

论文从世界建模视角系统梳理了视频理解与生成的四大核心操作:阅读、写作、共享和交互,强调从片段识别转向对持久状态和因果一致性的建模。

Key points

This survey presents a unifying framework for video foundation models through world modeling, organizing the literature around four operations: reading, writing, sharing, and interacting. It highlights a shift from clip-level perception to persistent world states, controllable evolution, and causal validity, emphasizing evaluation via interaction and downstream decisions.

  • Proposes world modeling as a unifying lens for video understanding and generation.
  • Organizes literature into four operations: reading, writing, sharing, and interaction.
  • Shifts emphasis from clip-level recognition to persistent, causally valid world states.
  • Highlights evaluation via interaction and downstream decision-making as key for validity.

Written only from the official arXiv abstract by an open-source model, then checked automatically (every number and name must appear in the abstract). The paper is authoritative.

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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