On your smartphone!
ㆍWant to virtually try on 100 outfits without going to a clothing store?
ㆍSmart Fashion, a Vietnamese fashion tech startup, offers an AI-powered virtual fitting service that allows you to try on clothes virtually, find the perfect fit, and get recommendations for cool outfits.
ㆍThe downside of virtual fitting services is that you can’t receive feedback on fit, but AI advancements may overcome this limitation.
Mission: Wear the best party dress tonight
Where can you find it? You might visit a showroom that sells your favorite clothes, or you could search the internet and wade through a lot of information. However, these may not be the best methods. Instead, you can use an AI virtual fitting app created by Vietnamese startup Smart Fashion. With this app, you can try hundreds of clothes on a virtual human model that looks just like you and accurately represents your body size. The catwalk is literally endless.
Smart closet, smart dresser
Discover our virtual fitting room with fashion consultants powered by an AI virtual assistant using deep learning and computer vision. Customers can upload their own photos or select models with similar height, body shape, and skin color. Smart Fashion technology uses image recognition to track body parts, such as the face and hands, in real time, improving image synthesis. The deep learning program can analyze the clothes in the images to find similar-sized clothing and make recommendations. By analyzing your photo, the program identifies your body shape and size and retrieves clothes from a database, like how a sales associate in a store would select clothes for you.
Computer vision technology allows you to virtually try on clothing just like you would in a store. A computer vision neural network algorithm analyzes catalog images of clothing and creates a picture of the consumer wearing the clothing based on different model images. Neural networks help determine various variations that can be applied to an item, including size, color, and sleeve length.
Can you share emotions with a virtual human?
AI virtual fittings have revolutionized the shopping experience, but they have a drawback when it comes to fit. When we shop for clothes, it’s not just about size and style, but also about comfort. For example, a virtual fitting may not indicate if the sequins on a dress are uncomfortable against the skin. Wouldn’t it be great if a virtual model representing you could convey this information? You would need to communicate your preferences to the model first, such as “I prefer linen, airy, and comfortable fabrics, and I want to be notified if something doesn’t meet these criteria.” By establishing this level of communication, the virtual model could potentially provide real-time feedback on how the clothing feels. (Of course, a deep learning program would need to gather data on how people feel when they wear clothes.) If the virtual model and I could communicate closely, we might one-day share sensations simultaneously. This could lead to a future scenario where both the virtual model and the individual share sensory experiences. For example, if the virtual model tries on an outfit and the individual is wearing the same outfit as a hologram, they might both experience sensations of “comfort” or “discomfort” simultaneously.
