Paper Title
DEEP LEARNING MEETS FASHION - A LOOK INTO VIRTUAL TRY-ON SOLUTIONS
Article Identifiers
Authors
AMOS VIYANIKARAN J , CAROLINE VIOLA STELLA MARY M
Keywords
Deep Neural Networks, Convolutional Neural Networks, Computer Vision, VITON, GAN, STN
Abstract
Virtual Try-on for Clothes using Deep Neural Networks has been an active area of research in recent years. With the advancement of computer vision and deep learning techniques, it is now possible to create realistic simulations of clothing items on human bodies, allowing customers to try on clothes virtually before making a purchase. This technology has the potential to revolutionize the way we shop for clothes, saving time and reducing waste. In this paper, we review the state-of-the-art virtual try-on techniques and discuss the challenges and limitations of this technology. We also propose a new approach based on a deep neural network architecture that can accurately simulate the fit and appearance of clothing items on different body types. Our proposed method outperforms existing techniques in terms of realism and accuracy and can be used as a tool for virtual wardrobe management, online shopping, and personalized styling.
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How To Cite (APA)
AMOS VIYANIKARAN J & CAROLINE VIOLA STELLA MARY M (April-2024). DEEP LEARNING MEETS FASHION - A LOOK INTO VIRTUAL TRY-ON SOLUTIONS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c281-c286. https://ijnrd.org/papers/IJNRD2404261.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c281-c286
Other Publication Details
Paper Reg. ID: IJNRD_217775
Published Paper Id: IJNRD2404261
Downloads: 000121991
Research Area: Science & Technology
Country: Tuticorin, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404261.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404261
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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