RealFit is a physics-backed virtual try-on technology developed to solve one of the biggest challenges in fashion e-commerce: helping customers understand how a garment will actually fit their body before making a purchase. Traditional sizing guides and AI-generated try-on systems often rely on approximations, making it difficult for shoppers to judge fit, silhouette, and comfort. This uncertainty contributes to lower conversion rates and high return volumes across the fashion industry. RealFit addresses this by creating a personalized digital twin of the customer and simulating how real garments behave on that individual’s body, allowing shoppers to explore different sizes and styles with a level of realism that closely mirrors an in-store fitting experience.
What makes RealFit unique is its combination of generative AI and physically accurate garment simulation. Rather than relying solely on image generation, the system is built on a foundation of physics-based cloth simulation calibrated against real-world fabric properties such as weight, structure, stretch, and drape. This enables garments to move and deform realistically as they would in the physical world. By grounding AI models in physical simulation, RealFit can predict fit and garment behavior with a high degree of accuracy, producing digital representations that reflect how real products are expected to look and feel on different body shapes.
From a technology perspective, RealFit combines GPU-accelerated simulation, NVIDIA CUDA, NVIDIA Omniverse, OpenUSD, and the NVIDIA Newton Physics Engine with custom-trained diffusion models, vision-language models (VLMs), and large language models (LLMs). The platform leverages large-scale NVIDIA GPU infrastructure to generate photorealistic experiences while maintaining millimeter-level fit fidelity. By bridging physically based simulation with modern AI techniques, RealFit demonstrates how digital fashion experiences can move beyond visualization and toward accurate, personalized representations of real-world products.