FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling
Translating novels into films poses a grand challenge for generative artificial intelligence, requiring conversion of abstract literary prose into long-form, multi-scene visual narratives. While current video generation models excel at short, single-scene clips within narrow temporal and spatial contexts, novel-to-film generation operates in a more complex regime, demanding long-duration content across diverse scenes with dynamically evolving entity states. To address this, we formalize novel-to-film generation as dynamic cinematic world modeling, decomposed into two phases: construction, which grounds abstract, underspecified literary narratives into concrete, stateful, and persistent wo...
| Authors | Jialong Zuo, Haotong Zuo, Shiwei Zhang et al. |
|---|---|
| Primary category | cs.CV |
| Published | 21 July 2026 |
| Last updated at source | 21 July 2026 |
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- ZuoHaotong/FilmEvalDataset · cited by
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- ZuoHaotong/FilmEvalDataset
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