Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling

TL;DR

Dialogue Director is a novel multimodal framework that converts dialogue scripts into detailed, multi-view storyboards by leveraging large models and diffusion architectures, significantly improving storytelling visualization.

Contribution

It introduces Dialogue Director, a training-free multimodal system that enhances dialogue script visualization through advanced reasoning, retrieval, and multi-view synthesis techniques.

Findings

Outperforms existing methods in script interpretation

Improves physical context understanding in storyboards

Enhances cinematic principle application

Abstract

Recent advances in AI-driven storytelling have enhanced video generation and story visualization. However, translating dialogue-centric scripts into coherent storyboards remains a significant challenge due to limited script detail, inadequate physical context understanding, and the complexity of integrating cinematic principles. To address these challenges, we propose Dialogue Visualization, a novel task that transforms dialogue scripts into dynamic, multi-view storyboards. We introduce Dialogue Director, a training-free multimodal framework comprising a Script Director, Cinematographer, and Storyboard Maker. This framework leverages large multimodal models and diffusion-based architectures, employing techniques such as Chain-of-Thought reasoning, Retrieval-Augmented Generation, and multi-view synthesis to improve script understanding, physical context comprehension, and cinematic knowledge integration. Experimental results demonstrate that Dialogue Director outperforms state-of-the-art methods in script interpretation, physical world understanding, and cinematic principle application, significantly advancing the quality and controllability of dialogue-based story visualization.