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Sidecar: Training-Free Semantic Reuse for Character-Consistent Free-form Visual Storytelling

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Visual storytelling requires generating images that follow a narrative while preserving consistent character identities across frames. In free-form story generation, a character is fully described only when first introduced and is later referred to by a type-level mention or pronoun. Although this setting better reflects natural storytelling, later prompts may omit important identity-related semantics, making character consistency more difficult to maintain. We propose \textbf{Sidecar}, a plug-and-play semantic augmentation module that preserves entity-level information from the initial descri

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