Revery AI
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Revery AI

Virtual dressing room at Scale

Founded by 3 Computer Vision PhDs at UIUC, Revery AI creates a scalable method to visualize garments on people. The technology powers a virtual dressing room where shoppers can mix & match outfits and visualize them on any model instantly online (Live Demo: https://demo.revery.ai). In 6 months, we integrated with 4 fashion retailers, including the largest fashion retailer in SEA. Our product helps retailers achieve a 3.8x conversion rates and a 3x add-to-cart rates. Unlike any previous virtual try-on solution, we are fully automated, meaning we can work with millions of SKUs at negligible costs while our competitors struggle with thousands. Our vision is to digitize all fashion products and become the infrastructure of the digital fashion experience.

Min Jin Chong

Min Jin Chong is the CSO of Revery AI. He is currently a Ph.D. in Computer Vision at the University of Illinois at Urbana-Champaign. He is interested in image generation and manipulation.

Min Jin Chong
Min Jin Chong
Revery AI

Kedan Li

CEO of Revery AI CS PhD at UIUC, focused on scalable image-based virtual try-on Researcher at Pinterest Software Engineer at Fitbit I've has been exploring different fashion AI applications since the beginning of my Ph.D. I spent the last 2 years developing scalable ways of generating images of people wearing selected outfits with high fidelity which later became the MVP of Revery's virtual dressing room.

Kedan Li
Kedan Li
Revery AI

Jeffrey Zhang

Jeffrey is the COO of Revery AI and is a PhD candidate in AI and computer vision. He is currently leading the development of the world’s first scalable virtual try-on technology. He is an expert in fashion AI with more than 5 years of experience in the domain and has written other AI publications ranging from fully automated pipelines for diagnosing heart diseases to methods that allow AI models to constantly learn new tasks.

Jeffrey Zhang
Jeffrey Zhang
Revery AI