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

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.

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Publication Details

Journal
IEEE Consumer Electronics Magazine
Published
2024-11-06
DOI
https://doi.org/10.1109/mce.2024.3492510
Primary Topic
Fashion and Cultural Textiles
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Sherali Zeadally, Hsin‐Hung Cho, Wei-Che Chien
IEEE Consumer Electronics Magazine
Fashion and Cultural Textiles
article

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

Sherali Zeadally, Hsin‐Hung Cho, Wei-Che Chien
article en

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.

IEEE Consumer Electronics MagazineVol. 14(5)
University of Kentucky (US), National Dong Hwa University (TW), National Ilan University (TW)
Openalex Percentile: Top 76%
Fashion and Cultural Textiles
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Human-Centric GenAI Garment Designer: 3D Fashion Design Recommendations — Sherali Zeadally, Hsin‐Hung Cho, et al. · IEEE Consumer Electronics Magazine (2024) | TGRS Research Map | TGRS