Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
Long-form agentic video generation must turn a screenplay into shots that remain spatially and temporally consistent across nonconsecutive requests.
ProofPaper ↗
Key points
- Passing prompts or recent frames between shots does not provide a shared spatial frame for revisiting a scene or a time-indexed record for replaying an earlier event.
- We present Any Time, Any Space (ATAS), which compiles a screenplay into shot requests with explicit location, camera, and event-time references.
- Before generation, it retrieves relevant evidence from a scene memory of registered static geometry and an event memory of dynamic observations indexed by scene, event, and time.
- After generation, ATAS reconstructs and registers the clip.
Sources (2)
- [1]Any Time, Any Space: A World-State-Centric Framework for Agentic Video GenerationHugging Face Daily Papers · Oct 14, 12:00 AM
Long-form agentic video generation must turn a screenplay into shots that remain spatially and temporally consistent across nonconsecutive requests.
Passing prompts or recent frames between shots does not provide a shared spatial frame for revisiting a scene or a time-indexed record for replaying an earlier event.
- [2]Any Time, Any Space: A World-State-Centric Framework for Agentic Video GenerationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 05:54 PM · same content
Extractive summary: sentences quoted from the sources.
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