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Recently, there has been a lot of activity in the field of research on virtual try-ons for clothing utilizing deep neural networks.Customers may now try on garments by creating lifelike simulations of clothing items on human bodies thanks to advancements in computer vision and deep learning algorithms.With the potential to save time and cut down on waste, this technology might completely change the way we shop for garments.In this study, we examine the most recent virtual try-on approaches and talk about the difficulties and restrictions associated with this technology.Additionally, we suggest a novel strategy built on a deep neural network architecture that is capable of precisely simulating how apparel would fit and look on various body shapes.Our suggested approach performs better than current methods.
Bhandari et al. (Sat,) studied this question.
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