Virtual Clothing Try-On


Authors : V. Jyothi; A. Abilash; Saripalli Shels; G. Divij Reddy; R. Sreenidhi Reddy

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3KGmvHQ

DOI : https://doi.org/10.5281/zenodo.7807356

Abstract : The global economy is expanding quickly in this age of technology and virtuality. Everything can be done with just a mouse click or phone swipe, from delivering meals to hiring handymen. The fashion and clothing sector, in which the majority of consumers purchase clothing online, is one of the main contributors. The drawback of this business model is that customers cannot digitally try on the clothing before making a purchase, as they could when shopping offline and using trial rooms. As a remedy to this issue, we suggest developing an application that seamlessly combines the 2D images of the customer with the targeted regions of clothing to produce a person image with the desired clothing and accessories. This virtual try-on clothing offers a multi-pose virtual try-on experience and contains ways to address the segmentation and warping issues of the current state-of-the-art models both qualitatively and quantitatively in performance.

The global economy is expanding quickly in this age of technology and virtuality. Everything can be done with just a mouse click or phone swipe, from delivering meals to hiring handymen. The fashion and clothing sector, in which the majority of consumers purchase clothing online, is one of the main contributors. The drawback of this business model is that customers cannot digitally try on the clothing before making a purchase, as they could when shopping offline and using trial rooms. As a remedy to this issue, we suggest developing an application that seamlessly combines the 2D images of the customer with the targeted regions of clothing to produce a person image with the desired clothing and accessories. This virtual try-on clothing offers a multi-pose virtual try-on experience and contains ways to address the segmentation and warping issues of the current state-of-the-art models both qualitatively and quantitatively in performance.

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