| title | One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems |
|---|---|
| authors | Yufei Shi, Weilong Yan, Naixuan Huang, Yucheng Chen, Chenyu Zhang, Tao He, Si Yong Yeo, Ming Li |
| date | 2026-05-21 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2605.22144 |
| affiliation | Nanyang Technological University |
| upvotes | 8 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf |
| abstract | 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 hierarchical multi-agent framework that 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-based story generation module that enforces short-drama pacing and narrative coherence; (2) a 3D-grounded first-frame generation mechanism that establishes a shared spatial reference for consistent character positioning and scene layout across clips; and (3) multi-stage reviewer loops that perform comprehensive error detection and targeted revision across script, visual, and video generation stages. We also introduce scene-level BGM matching and scene transition planning to improve the audience's immersive experience. To systematically evaluate this task, we introduce Short-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. |
cite
@misc{shi2026one,
title={One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems},
author={Yufei Shi and Weilong Yan and Naixuan Huang and Yucheng Chen and Chenyu Zhang and Tao He and Si Yong Yeo and Ming Li},
year={2026},
eprint={2605.22144},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2605.22144}
}