Create a technology to “virtually” try on clothes when you shop online | Miscellaneous | DW Arabic window on the lives of celebrities and funny events | DW

For years, computer scientists have been using deep learning techniques to create anthropomorphic human models that can be virtually measured to try on online shoppers.

Experts claim that such technology has many useful applications, especially in the fields of online shopping, video games and 3D designs.

In this context, two researchers from the TCS Research Institute in India succeeded in developing a deep learning technique that can predict the appearance of shoppers when they wear the clothes they want to buy online, and whether these clothes will match the physical specifications of the buyer.

The TechExplore website, which specializes in technology, quoted researcher Progeshwar Bumik, who is one of the researchers who invented the new technology, as saying that “online shopping allows consumers to view large quantities of products without incur the inconvenience of going to the markets, but one of the disadvantages of electronic shopping is that it The buyer may not measure the clothes he wants to buy, which can lead to the purchase of clothes that do not match the nature of each body does not fit.

“The idea of ​​trying on clothes virtually” could help solve this problem, Bomek said. The study team says that the idea of ​​trying on clothes by default allows shoppers to buy their clothes online after they have formed an idea about how they will look when wearing these clothes, adding that previous experiences in the same field do not make the difference did not take into account. body measurements from one consumer to another, but the new application named Deep Draper can be fed with the measurements of each body, and it does not require a large amount of computing power and memory capacity of the device used by each buyer not.

“Deep Draper” is an app that works with deep learning techniques that allows shoppers to measure clothes on virtual bodies that take the same physical measurements as they do, based on a photo or video of the shopper fed into the app become


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