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Stream/Area:
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Subject:
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Paper ID:
JSREM43658
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Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Virtual Try-On (VTO) technology integrates augmented reality (AR) and computer vision to offer customers a realistic experience of trying clothes online. With the increasing shift toward e- commerce, there is a growing need for interactive and immersive shopping experiences. Traditional online shopping often lacks personalization, leading to higher return rates and reduced customer satisfaction. This paper explores various approaches, including 3D pose estimation, image-based virtual fitting rooms. It evaluates existing solutions, discusses challenges such as occlusion handling, real-time rendering, and fabric simulation, and presents a novel framework combining deep learning with AR to enhance accuracy and user experience. The study provides insights for e- commerce platforms and developers aiming to improve virtual fashion retail and enhance the customer shopping journey.
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Publication Date
5/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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