marginaliaA PODCASTExplore all episodes

AI & Computer Science · Weekly AI Papers

Any Time, Any Space: Coherent Video Generation (Weijie Wang et al.)

LISTEN TO THIS EPISODE

Source cover or paper first page: Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation

Any Time, Any Space tackles the problem of keeping generated video shots consistent across changes of place, viewpoint, and time.

The framework turns a screenplay into shot requests with explicit scene, camera, and event-time references.

Scene memory stores registered static geometry, while event memory retains dynamic observations indexed by scene, event, and time.

Before generating a shot, the system retrieves relevant evidence; afterward, review and state checks decide whether new observations enter memory.

The authors report improvements in cross-shot consistency, spatial revisiting, and event replay across four video generators.

Listen on the podcast website

Read about the original source: Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation

Part of Marginalia: books, papers, and ideas for learning and debate.