Virtual Fashion with AI Personalization

Abstract: The rise of e-commerce in the fashion industry hasledtoanincreaseddemandforvirtualtry-onsolutions that enhance user experience. This paper presents a Virtual Fashion with AI Personalization system leveraging Generative Adversarial Networks(GANs)and deep learning techniques to provide a realistic and interactive digital try-on experience. The system enables users to upload images, select garments, and visualize theminreal-timewithpersonalizedfitting.Thisapproach addresses challenges in online apparel shopping, including size misfit and lack of customization, through AI-driven garment segmentation, pose estimation, and recommendation algorithms. By integrating cutting-edge deep learning techniques, this research demonstrates a robustandscalablesolutionforrevolutionizingtheonline fashion industry

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-08
DOI
https://doi.org/10.22214/ijraset.2025.70326
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Virtual Fashion with AI Personalization

Rushikesh Gaikhe
International Journal for Research in Applied Science and Engineering Technology
3D Shape Modeling and Analysis
article

Virtual Fashion with AI Personalization

Rushikesh Gaikhe
article en

Abstract

Abstract: The rise of e-commerce in the fashion industry hasledtoanincreaseddemandforvirtualtry-onsolutions that enhance user experience. This paper presents a Virtual Fashion with AI Personalization system leveraging Generative Adversarial Networks(GANs)and deep learning techniques to provide a realistic and interactive digital try-on experience. The system enables users to upload images, select garments, and visualize theminreal-timewithpersonalizedfitting.Thisapproach addresses challenges in online apparel shopping, including size misfit and lack of customization, through AI-driven garment segmentation, pose estimation, and recommendation algorithms. By integrating cutting-edge deep learning techniques, this research demonstrates a robustandscalablesolutionforrevolutionizingtheonline fashion industry

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Sandip Foundation (IN)
Openalex Percentile: Top 89%
3D Shape Modeling and Analysis
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