Human-Centric GenAI Garment Designer: 3D Fashion Design Recommendations

Wei Che Chien; Hsin Hung Cho; Sherali Zeadally

doi:10.1109/MCE.2024.3492510

Human-Centric GenAI Garment Designer: 3D Fashion Design Recommendations

Wei Che Chien, Hsin Hung Cho, Sherali Zeadally

School of Information Science

Research output: Contribution to specialist publication › Article

1 Scopus citations

Abstract

This study proposes a 3D fashion design recommendation system that integrates Generative AI (GenAI) and consumer electronics technology to enhance the online shopping experience. Users can upload full-body images to the platform, where GenAI analyzes their body shape and suggests suitable outfit options. This system addresses a significant issue in the consumer electronics industry: the frequent occurrence of mismatched clothing purchases in online shopping, which often leads to high return rates and customer dissatisfaction. By providing personalized and accurate fashion recommendations, our system aims to bridge the gap between online and physical shopping experiences. The method utilizes GenAI to recognize and interpret body shapes, ensuring that the recommended outfits match the user's physique. Experimental results demonstrate the effectiveness of the proposed system in accurately identifying body shapes and offering tailored fashion advice. This innovation not only improves user satisfaction by reducing the likelihood of returns but also contributes to resource conservation by minimizing the amount of unused clothing.

Original language	English
Pages	103-114
Number of pages	12
Volume	14
No	5
Specialist publication	IEEE Consumer Electronics Magazine
DOIs	https://doi.org/10.1109/MCE.2024.3492510
State	Published - 2025

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

Funding

The authors would like to thank the anonymous reviewers for their valuable comments, which helped us improve the content and presentation of this article. This work was supported by the National Science Council of the R.O.C. under Grant NSTC 112-2221-E-259-003-MY2, Grant NSTC 12-2221-E-259-004-MY2, Grant NSTC 113-2622-E-259-002-, and Grant NSTC 112-2221-E-197-016-MY3. The work of Sherali Zeadally was supported by a Distinguished Visiting Professorship from the University of Johannesburg, South Africa.

Funders	Funder number
University of Johannesburg
National Science Council	NSTC 12-2221-E-259-004-MY2, NSTC 112-2221-E-259-003-MY2, NSTC 113-2622-E-259-002-, NSTC 112-2221-E-197-016-MY3

ASJC Scopus subject areas

Human-Computer Interaction
Hardware and Architecture
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/MCE.2024.3492510

Cite this

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Human-Centric GenAI Garment Designer: 3D Fashion Design Recommendations

Abstract

Bibliographical note

Funding

ASJC Scopus subject areas

Access to Document

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