AI RESEARCH
DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation
arXiv CS.CV
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ArXi:2507.13292v3 Announce Type: replace Accurate age verification can protect underage users from unauthorized access to online platforms and e-commerce sites that provide age-restricted services. However, accurate age estimation can be confounded by several factors, including facial makeup that can induce changes to alter perceived identity and age to fool both humans and machines. In this work, we propose DiffClean which erases makeup traces using a text-guided diffusion model to defend against makeup attacks. DiffClean improves age estimation (minor vs.