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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 1, JANUARY 2023

A Survey on virtual try-on clothing system

Girish Mantha, Praveen G Shet, Rahul Athreya K M, Sathwik P Bhat, Shamanth G.P

DOI: 10.17148/IJARCCE.2023.12102
Abstract: The Virtual cloth Try-on is one of the biggest inventions took place in fashion industry which contributes to enhance user experience by allowing them to try out garments virtually without wearing it. Prior arts usually focus on preserving the character of a clothing image (e.g., texture, logo, embroidery) when warping it to arbitrary human pose. This project suggests a better solution using Artificial Intelligence (AI) and Augmented Reality (AR) for non-tech-savvy customers who aims at transferring a target clothing image onto a himself. It remains a big challenge to generate photo-realistic try-on images when large occlusions and human poses are presented in the reference person then determines whether its image content needs to be generated or preserved according to the predicted semantic layout, leading to photo-realistic try-on and rich clothing details.  

Keywords: Augmented Reality (AR), Artificial Reality (AI), Virtual Try-On (VTON), Photo-Realistic Image

How to Cite:

[1] Girish Mantha, Praveen G Shet, Rahul Athreya K M, Sathwik P Bhat, Shamanth G.P, “A Survey on virtual try-on clothing system,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12102