Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)

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Advancements in Three-Dimensional Virtual Try-On Technology

Authors
Tong Zhao1, Qingfu Li1, Xiaoyi Wang2, *
1School of Arts & Sciences, Beijing Institute of Fashion Technology, Beijing, China
2Department of Arts Management, China Conservatory of Music, Beijing, China
*Corresponding author. Email: sdwangxy@163.com
Corresponding Author
Xiaoyi Wang
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-504-1_32How to use a DOI?
Keywords
3D Virtual Fitting; 3D Human Scanning; 3D Modeling; Deep Learning
Abstract

With the advent of the digital age and the widespread adoption of online shopping, 3D virtual fitting technology has emerged, fostering the integration of fashion and e-commerce and enhancing consumers’ online shopping experiences. This paper reviews the development, key technologies, and applications of 3D virtual fitting technology across various domains. First, it explores the characteristics, advantages, and disadvantages of 3D human scanning technologies, including contact and non-contact measurement methods. It then elucidates the primary strategies for human body loading and clothing 3D modeling, encompassing traditional 3D visual modeling and deep learning methods. The paper outlines the critical applications and technical challenges in enhancing the realism and user experience of virtual fitting. Finally, it anticipates future trends in 3D virtual fitting technology, focusing on algorithm optimization, hardware advancements, and its role in promoting sustainable development.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
Series
Advances in Computer Science Research
Publication Date
31 August 2024
ISBN
978-94-6463-504-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-504-1_32How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tong Zhao
AU  - Qingfu Li
AU  - Xiaoyi Wang
PY  - 2024
DA  - 2024/08/31
TI  - Advancements in Three-Dimensional Virtual Try-On Technology
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 332
EP  - 343
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_32
DO  - 10.2991/978-94-6463-504-1_32
ID  - Zhao2024
ER  -