{"ID":2896791,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.07333","arxiv_id":"2507.07333","title":"Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory","abstract":"Augmented reality is revolutionizing beauty industry with virtual try-on (VTO) applications, which empowers users to try a wide variety of products using their phones without the hassle of physically putting on real products. A critical technical challenge in foundation VTO applications is the accurate synthesis of foundation-skin tone color blending while maintaining the scalability of the method across diverse product ranges. In this work, we propose a novel method to approximate well-established Kubelka-Munk (KM) theory for faster image synthesis while preserving foundation-skin tone color blending realism. Additionally, we build a scalable end-to-end framework for realistic foundation makeup VTO solely depending on the product information available on e-commerce sites. We validate our method using real-world makeup images, demonstrating that our framework outperforms other techniques.","short_abstract":"Augmented reality is revolutionizing beauty industry with virtual try-on (VTO) applications, which empowers users to try a wide variety of products using their phones without the hassle of physically putting on real products. A critical technical challenge in foundation VTO applications is the accurate synthesis of fou...","url_abs":"https://arxiv.org/abs/2507.07333","url_pdf":"https://arxiv.org/pdf/2507.07333v1","authors":"[\"Hui Pang\",\"Sunil Hadap\",\"Violetta Shevchenko\",\"Rahul Suresh\",\"Amin Banitalebi-Dehkordi\"]","published":"2025-07-09T23:19:28Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}