一句一剧:基于多智能体系统的个性化短剧生成
阅读原文· arxiv.org针对现有短剧生成方法在叙事节奏、空间一致性及生产级质控方面的不足,本研究提出了“一句一剧”分层多智能体框架。该框架包含三大核心组件:多智能体辩论式故事生成以保障叙事张力、3D锚定首帧生成以维护跨片段空间一致、以及多阶段审核循环以实现全流程质量控制。此外,系统引入了场景级BGM匹配与转场规划以增强沉浸感。团队还构建了专用基准Short-Drama-Bench进行评估。实验表明,该方法在叙事连贯性、角色场景一致性及整体观看体验上均显著优于现有流程。
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.