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Jihoon Kweon

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  1. Otoendoscopic images stop relying on text alone: CLNA turns unwritten visual variation into an adjustable latent, cutting FID from 52.91 to 10.11

    Otoendoscopic image synthesis has been limited because text prompts state a diagnosis but not visual details such as hue and texture, leaving appearance variation within a diagnostic class hard to control. CLNA adds a style encoder and dual cross-attention to a Stable Diffusion 2.1 backbone, compressing such non-prompt attributes into a continuous latent whose sampling range is set by a style parameter. Across normal tympanic membrane, otitis media with effusion and chronic otitis media, FID against the held-out internal test set fell from 52.91 for baseline Stable Diffusion to 10.11, and feature-space recall rose from 57.67% to 90.22%.

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