Oxford-NUS survey unifies video understanding and generation under world modeling lens
Shengqiong Wu · hf · 2026-10-23
A joint team from Oxford, NUS, NTU, and UC Merced releases A Survey Toward Unified Video World Models, using world modeling as a unifying lens for video understanding and generation.
- Framework: treats observed video as a partial, lossy, temporally ordered projection of a latent temporal world, organizing literature around four complementary operations — reading (inferring world properties), writing (synthesizing video from specified or learned conditions), sharing (integrating understanding and generation via common mechanisms), and interacting (prediction and interaction).
- Emphasizes persistent world dynamics over clip-level perception.
- Project page and an awesome-list are open-sourced; authors include Shuicheng Yan, Ming-Hsuan Yang, and Philip Torr.
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