AI RESEARCH
Customized Visual Storytelling with Unified Multimodal LLMs
arXiv CS.CV
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ArXi:2603.27690v1 Announce Type: new Multimodal story customization aims to generate coherent story flows conditioned on textual descriptions, reference identity images, and shot types. While recent progress in story generation has shown promising results, most approaches rely on text-only inputs. A few studies incorporate character identity cues (e.g., facial ID), but lack broader multimodal conditioning. In this work, we