US20250232487
2025-07-17
Physics
G06T11/00
A system is introduced for creating an augmented reality (AR) try-on experience with lighting adjustments to enhance realism. The system processes an image of a real-world person and retrieves an AR fashion item. Using a machine learning model, it estimates the necessary lighting adjustments for the AR fashion item based on the lighting properties present in the image. The goal is to seamlessly blend the AR item with the real-world image to produce a modified, realistic-looking image.
Augmented reality overlays virtual content onto real-world environments, distinct from virtual reality where users are fully immersed in a virtual setting. AR systems strive to present virtual objects that interact convincingly with real-world environments. Common applications include video games and messaging platforms where users can engage with virtual objects in their physical space.
Current AR try-on experiences often require users to switch between different applications or pages, disrupting the shopping process and consuming resources. This system addresses these issues by allowing users to select AR fashion items directly from a webpage and seamlessly integrate them into a try-on experience without leaving the site. The machine learning model dynamically adjusts lighting conditions of AR items to match those in real-time images, enhancing realism.
By integrating lighting adjustments into AR try-ons, users can visualize how fashion items will look under their current environmental conditions. This approach reduces the need for navigation between different interfaces and minimizes resource consumption. Users benefit from a more efficient and engaging shopping experience as they can see realistic representations of products without repetitive application launches.
The interaction system comprises multiple client systems connected via a network, facilitating communication between user devices and servers. It supports various operations like data transmission and processing, enhancing user interactions with services such as video calls and multimedia augmentation. The server-side infrastructure ensures efficient data handling and provides APIs for seamless integration of functionalities across platforms.