Abstract

In the current existing busy and modern lifestyle had led many people to purchase ready-made clothes from e-commerce stores or retail stores without actually knowing the fitting of the clothes, in the expectation of perfect fit. To improve the accessibility and increase the time efficiency of clothes trying on we have created a virtual clothes trial room environment. In this, we have introduced a virtual try-on strategy which is based on generative adversarial networks(GAN).Our technique will firstly obtain masking of cloth region of a person with the help of human parsing model. Next, the cloth region will be removed from the person's image and another desired cloth image is added on the region. This application will also be more useful for the shops which requires to show every clothes to customer and hence time consuming and requires more Human Effort.

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