Sheng-Wei Zhang, Hsi-An Chen, Yan-Ting Liou, Chih-Hsuan Chen, Shih-Chen Tseng, Yu-Lun Liu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26851 · open-access PDF
기존의 만화를 소스에 충실하게 유지하는 일관된 애니메이션으로 적응하는 것은 가치있지만 도전적인 작업입니다. 기존의 방법은 주로 텍스트를 통해 만화에 액세스하거나 캐릭터와 예술 스타일을 잃거나 만화 페이지를 직접 비디오 생성 모델로 공급하여 만화의 구조를 잘못 해석하고 잘못된 스토리라인을 생성합니다.이 논문에서 우리는 Manga2Animate, 소스 만화에서 생성의 각 단계를 기초로하는 멀티 에이전트 프레임워크를 제안합니다.
Machine translation (Meta M2M100); the English original follows.
Adapting existing manga into coherent animation that stays faithful to the source is a valuable yet challenging task. Existing methods either access the manga mainly through text, losing its characters and art style, or feed manga pages directly into video generation models, which misinterpret the manga's structure and produce incorrect storylines. In this paper, we propose Manga2Animate, a multi-agent framework that grounds every stage of generation in the source manga. We decompose the task into two intermediate representations, an animation script and a visual storyboard. Each representatio
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