Hair removal preprocessing using the DullRazor algorithm before image generation.

<p>The DullRazor algorithm systematically removes hair artifacts through a multi-step process: (1) converting the original hairy input image to grayscale, (2) applying a black hat filter to detect and isolate hair structures, (3) creating a binary mask of detected hair regions, and (4) removin...

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Bibliographic Details
Main Author:	Mujung Kim (22367223) (author)
Other Authors:	Jisang Yoo (5645609) (author), Soonchul Kwon (1487401) (author), Byung Jun Kim (6433244) (author), Changsik John Pak (22367226) (author), Chong Hyun Won (11986150) (author), Suk-Ho Moon (14784324) (author), Woo Jin Song (17457980) (author), Han Gyu Cha (22367229) (author), Kyung Hee Park (9278105) (author)
Published:	2025
Subjects:	Ecology Immunology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified results showed improvements mitigate detail loss grained detail preservation capture detailed representations synthesize synthetic images quality synthetic images stable diffusion model latent diffusion model conducted classification experiments existing diffusion models based image encoder enhanced data diversity used interpolation techniques real images inpainting models data scarcity classification performance xlink "> trained segmentation reference material proposed technique overall shapes level embeddings generate high employed pre decoder structures clip encoder clinical use approach contributes applied using
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Hair removal preprocessing using the DullRazor algorithm before image generation.

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