Paper page - One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

Source: https://huggingface.co/papers/2605.22144

Abstract

A hierarchical multi-agent framework generates short dramas from single sentences by enforcing narrative pacing, ensuring spatial consistency, and implementing quality control through iterative refinement and reviewer loops.

Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to satisfy three key requirements of short-drama generation: (1)narrative pacing, resulting in weak hooks, insufficient escalation, and unattractive endings; (2)spatial consistency, leading to drifting scene layouts and inconsistent character positions across clips; and (3)production-level quality control, requiring extensive manual review and correction across script and visual stages. We present One Sentence, One Drama, a hierarchicalmulti-agent frameworkthat transforms a user’s single-sentence idea into a fully produced short drama through structured intermediate modules and iterative refinement. Our approach is built upon three key components: (1) a multi-agent debate-basedstory generation modulethat enforces short-drama pacing and narrative coherence; (2) a3D-grounded first-frame generationmechanism that establishes a shared spatial reference for consistent character positioning and scene layout across clips; and (3)multi-stage reviewer loopsthat perform comprehensive error detection and targeted revision across script, visual, and video generation stages. We also introducescene-level BGM matchingandscene transition planningto improve the audience’s immersive experience. To systematically evaluate this task, we introduceShort-Drama-Bench, a benchmark that extends standard video quality metrics with short-drama-specific criteria. Experimental results demonstrate that our method significantly outperforms existing pipelines in narrative quality, cross-clip consistency, and overall viewing experience.

View arXiv pageView PDFAdd to collection

Get this paper in your agent:

hf papers read 2605\.22144

Don’t have the latest CLI?curl \-LsSf https://hf\.co/cli/install\.sh \| bash

Models citing this paper0

No model linking this paper

Cite arxiv.org/abs/2605.22144 in a model README.md to link it from this page.

Datasets citing this paper0

No dataset linking this paper

Cite arxiv.org/abs/2605.22144 in a dataset README.md to link it from this page.

Spaces citing this paper0

No Space linking this paper

Cite arxiv.org/abs/2605.22144 in a Space README.md to link it from this page.

Collections including this paper0

No Collection including this paper

Add this paper to acollectionto link it from this page.