Survey unifies video models as reading, writing, sharing, and interaction
Original title: Reading, Writing, Sharing, and Interacting with the World through Video
The authors treat observed video as a lossy projection of a latent world and track a shift toward persistent state.
A survey uses world modeling to connect video understanding and video generation. It groups the literature into reading world properties from video, writing video from world conditions, sharing mechanisms across both, and interacting by updating state under actions. The authors describe a move from clip-level recognition toward persistent state, physical and causal validity, and evaluation tied to interaction, and they list open challenges.
Unconfirmed: The four-operation structure is the authors' organizing lens, not a measured result.
- Four operations organize the survey: reading, writing, sharing, and interacting.
- Sequence coherence is distinguished from consistency of the underlying world state.
- The review covers tasks, representations, models, datasets, and benchmarks.
- Open challenges follow the emphasis on controllable evolution and downstream decisions.
From the original article
1 min read at huggingface.co
Video foundation models have advanced rapidly in understanding and generating visual sequences, while video world models seek to capture the underlying dynamics of the world they depict. Despite their different objectives, both concern the relationship between video observations and an evolving world. This survey adopts world modeling as a unifying lens for examining these developments.
By Shengqiong Wu, Meng Luo, Bobo Li · huggingface.co
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