  The growing digital landscape of fashion e-commerce calls for interactive and
user-friendly interfaces for virtually trying on clothes. Traditional try-on
methods grapple with challenges in adapting to diverse backgrounds, poses, and
subjects. While newer methods, utilizing the recent advances of diffusion
models, have achieved higher-quality image generation, the human-centered
dimensions of mobile interface delivery and privacy concerns remain largely
unexplored. We present Mobile Fitting Room, the first on-device diffusion-based
virtual try-on system. To address multiple inter-related technical challenges
such as high-quality garment placement and model compression for mobile
devices, we present a novel technical pipeline and an interface design that
enables privacy preservation and user customization. A usage scenario
highlights how our tool can provide a seamless, interactive virtual try-on
experience for customers and provide a valuable service for fashion e-commerce
businesses.
