Sign inGet started
Paper · arXiv

PACE: Precise AI Cinematic Expression

Between a screenplay and a film sits a planning problem that is spatial first: who stands where, and what a camera sees from where it stands. An image diffusion model asked for a shot in free text settles that plan by its own defaults. We present PACE (Precise AI Cinematic Expression), a typed representation for the plan: the screenplay evidence, the characters, props and locations it needs, where each subject stands, and what the camera does. A value is written once at the level it belongs to (script, scene, shot or panel) and inherited below it. A compiler turns the result into both the prompt sent to the diffusion model and a 3D scene built in metres, and a camera solver places the cam...

AuthorsBing Duan, Qiang Guo, Linpu Li et al.
Primary categorycs.CV
Published17 September 2026
Last updated at source18 September 2026
cs.CVcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/70e2d280-6575-43fd-b105-4cf4c6234ab3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.