AI RESEARCH
MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation
arXiv CS.CV
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ArXi:2605.28173v1 Announce Type: new End-to-end manga generation is a structured visual storytelling task that requires story decomposition, recurring character and scene grounding, page layout design, panel rendering, page composition, and lettering. However, existing generative models often perform direct page synthesis, entangling these factors in a single visual output and limiting precise control over layout geometry, visual references, and cross-panel consistency.