Generative Phomosaic with Structure-Aligned and Personalized Diffusion

Jaeyoung Chung; Hyunjin Son; Kyoung Mu Lee

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arXiv · 2604.06989

Generative Phomosaic with Structure-Aligned and Personalized Diffusion

Jaeyoung Chung·Hyunjin Son·Kyoung Mu Lee

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Abstract

We present the first generative approach to photomosaic creation. Traditional photomosaic methods rely on a large number of tile images and color-based matching, which limits both diversity and structural consistency. Our generative photomosaic framework synthesizes tile images using diffusion-based generation conditioned on reference images. A low-frequency conditioned diffusion mechanism aligns global structure while preserving prompt-driven details. This generative formulation enables photomosaic composition that is both semantically expressive and structurally coherent, effectively overcoming the fundamental limitations of matching-based approaches. By leveraging few-shot personalized diffusion, our model is able to produce user-specific or stylistically consistent tiles without requiring an extensive collection of images.

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Jaeyoung Chung, Hyunjin Son, Kyoung Mu Lee. 2026-04-08. Generative Phomosaic with Structure-Aligned and Personalized Diffusion. https://arxiv.org/abs/2604.06989

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