Papers for

film production studios

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Structured orchestration improves ultra long narrative to film generation

Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation

Abstract: Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency in both visual identity and character behavior-requirements that remain difficult to satisfy with current prompt-based workflows. A core reason existing workflows remain brittle is the lack of a structured intermediate layer between scripts and video models, especially when screenplays are underspecified at key cinematic decision points. We introduce a structured orchestration layer for film-oriented script-to-video generation, implemented as a multi-agent framework that operates between scripts and off-the-shelf video generators. The layer is centered on FilmDSL, a film-oriented domain-specific language that makes cinematic constraints explicit, including shot and camera directives, asset and continuity requirements, and persona cues, so that agents coordinate through a shared structured specification for planning, generation, critique, and repair. Specifically, a generation agent constructs asset packs and storyboard keyframes that anchor composition before clip-by-clip synthesis, while a critic agent produces structured QA signals and triggers targeted refinement without retraining the base model. Experiments on TV-style segments show improved controllability and consistency over text-only and reference-only baselines.

Mon 7 SeptComputer Vision and Pattern RecognitionMultiagent Systems
The gist
Creating movies from long stories is hard because videos need to keep characters and scenes consistent over many shots. The authors introduce a new system that acts as a middle layer between scripts and video generators, using a special language called FilmDSL to give clear instructions about how scenes should look and flow. This allows different parts of the system to work together, plan shots, check for mistakes, and fix problems without retraining the video models. Their experiments show this method leads to better control and consistency than previous text-only methods.
Open → 2609.07720v1