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Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching

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

Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is scored in isolation. However, this atomic paradigm fails to capture the complexity of human search intent within personal photo collections, where users often seek compact visual stories bound by structural relations rather than isolated snapshots. To address this limitation, we introduce **Image Bundle Composition (IBC)**, a novel paradigm that shifts the objective from ranking individual images to dynamically composing cohesive image bundles from a massive, unstructured photo poo

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