AI RESEARCH
Generative Phomosaic with Structure-Aligned and Personalized Diffusion
arXiv CS.CV
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ArXi:2604.06989v1 Announce Type: new 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.