发表机构
Shanghai University; Shanghai Engineering Research Center of Motion Picture Special Effects; Institute for Math and AI, Wuhan School of Artificial Intelligence, Wuhan University（上海大学; 上海电影特效工程技术研究中心; 武汉大学数学与人工智能研究院武汉人工智能学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究针对电子剧院节目设计难题，提出ETPDesigner多智能体框架，能从戏剧脚本合成高质量ETP，通过全局风格锚定机制保证一致性，还实现交互功能，经ETP-Pro基准测试验证了方法在多方面的优越性。
AI 中文摘要
电子剧院节目（ETP）是表演艺术中的重要宣传媒介，由多页不同的视觉资产组成。现有文本到图像范式难以处理此类复杂设计任务。为此引入ETPDesigner，一个协作式多智能体框架，能从原始戏剧脚本直接合成高质量ETP。该框架编排专门智能体进行语义脚本分析等。其核心是全局风格锚定机制。还将ETP提升为沉浸式交互伴侣。构建ETP-Pro进行严格基准测试，评估表明该方法在生成语义忠实、美学一致和高度交互的节目集方面具有优越性。
英文摘要
Electronic Theater Programs (ETPs) serve as critical promotional media in the performing arts, comprising a multi-page collection of heterogeneous visual assets such as theatrical posters, performance details, and character portraits. However, existing text-to-image paradigms struggle with such complex design tasks due to their inability to comprehend long-context narratives and maintain visual consistency across multiple distinct pages. To address this, we introduce ETPDesigner, a collaborative Multi-Agent framework that directly synthesizes high-quality ETPs from raw dramatic scripts. Emulating a professional design pipeline, our framework orchestrates specialized agents for semantic script analysis, core poster synthesis, functional background generation, and the stratified composition of character assets. Central to ETPDesigner is a global style anchor mechanism that extracts visual priors from the core poster to enforce strict aesthetic uniformity across all generated components. Furthermore, we elevate the ETP from a static publication to an immersive interactive companion. By integrating portrait animation, customized speech synthesis, and persona-grounded Large Language Models (LLMs), our system enables users to engage in real-time, voice-enabled conversations with the generated virtual characters. To rigorously benchmark this task, we construct ETP-Pro, a domain-specific benchmark of professional theater posters and high-quality character portraits. Extensive evaluations demonstrate our method's superiority in producing semantically faithful, aesthetically consistent, and highly interactive program sets.
