AIDB Daily Papers
ETPDesigner:演劇プログラムのインタラクティブなマルチモーダル生成に向けたマルチエージェントオーケストラ
※ 日本語タイトル・ポイントはAIによる自動生成です。正確な内容は原論文をご確認ください。
ポイント
- 演劇の台本から高品質な電子演劇プログラムを自動生成するマルチエージェントフレームワークを構築した。
- グローバルスタイルアンカー機構により、長文コンテキストの理解と複数ページ間の視覚的な一貫性を実現した点が新しい。
- キャラクターとのリアルタイムな音声会話機能や新しいベンチマークを導入し、優れた生成精度と実用性を実証した。
Abstract
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.
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