One of the major pain points of online shopping is that you can't directly contact and touch goods, especially clothing goods. Visual sense is particularly important. Consumers' understanding of goods can only be obtained through the commodity map given by the seller, which is generally taken by professional models hired. It is far from the actual effect worn by ordinary people.

Then the problem of high return frequency is very serious.

At this time, virtual fitting came into being.

Due to the limitation of technical level, the main function of virtual fitting focuses on "matching" and focuses on solving the matching problem of consumers. But this is obviously not enough, so tailor-made functions are put into use. At present, a large number of virtual fitting apps we see are concentrated in this field, such as daily new, Every, fashion, daily fitting and so on.

Most of these fitting apps use the standard model figure, and some apps can realize the function of changing faces, and simply splicing the user's own avatar into a model avatar. However, the current avatar splicing technology is still quite poor, because users take selfies from various angles, and it seems particularly unnatural to splicing directly to the model's avatar. But it is undeniable that this concept is successful, and it will be widely popularized through the improvement of technology in the later stage!

Welcome to discuss and correct, thank you!