We present a theory-inspired visual narrative generator that incorporates comic-authoring idioms, which transfers the conceptual principles of comics into system layers that integrate the theories to create comic content. The generator creates comics through sequential decision-making across layers from panel composition, object positions, panel transitions, and narrative elements. Each layer's decisions are based on narrative goals and follow the respective layer idioms of the medium. Cohn's narrative grammar provides the overall story arc. Photographic compositions inspired by the rule of thirds is used to provide panel compositions. McCloud's proposed panel transitions based on focus shifts between scene, character, and temporal changes are encoded in the transition layer. Finally, common overlay symbols (such as the exclamation) are added based on analyzing action verbs using an action-verb ontology. We demonstrate the variety of generated comics through various settings with example outputs. The generator and associated modules could be a useful system for visual narrative authoring and for further research into computational models of visual narrative understanding.

我们提出了一种基于理论启发的视觉叙事生成器，该生成器融合了漫画创作习语，将漫画的概念原则转化为整合理论的系统层次，用于创作漫画内容。生成器通过从面板构图、物体位置、面板转换和叙事要素的层次上进行顺序决策来创建漫画。每个层次的决策基于叙事目标，遵循媒体的相应层次习语。借鉴Cohn的叙事语法提供整体故事弧线。面板构图采用受三分法启发的照片构图。基于McCloud提出的面板转换理论，包括场景、人物和时间变化之间的焦点转移的转换层被编码进系统中。最后，基于对动作动词使用动作动词本体论进行分析，添加常见的叠加符号（例如感叹号）。通过各种设置和示例输出展示了生成的漫画的多样性。该生成器和相关模块可以用于视觉叙事创作，并进一步研究视觉叙事理解的计算模型。

漫画风格视觉叙事定制生成器