We are building the TikTok for fashion — a platform for creators to showcase their works, gain traction and build their brands. ### Reverie is powered by two pieces of core technology: - An AI-enhanced design tool for creators to turn their design ideas into e-commerce quality product images very efficiently. - An AI-powered Virtual Dressing Room to create professional fashion photography directly from product images. Both fashion creators and other users can easily style outfits on different models. With our core tech, we are building an active community of fashion creators (designers, stylists, influencers, bloggers, artists, casting directors, etc..) who produce original designs and engaging content around the published pieces. The social media platform will provide a streamlined path for fashion creators to experiment with their ideas and build traction. We want to eventually become the default choice for anyone who wants to launch their fashion label, and have the future Off-White, Balenciaga, Rick Oven, etc. originate from Reverie. Our team combines deep expertise in technology (AI Phds) and the fashion industry (Community builder). Our Virtual Dressing room is live with top retailers (such as Neiman Marcus) and has ~1M ARR. We are backed by YCombinator, TSVC, Cabra VC, and other amazing angels with retail experience and connections. Join us to reshape the fashion industry!
Co-founder 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.
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.
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.