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논문 리스트

2024
Analysis of Meta Fashion Item Characteristics and 3D Digital Clothing Programs -Focusing on ZEPETO Platform -
한국의류산업학회
도월희 외 1명
논문정보
Publisher
한국의류산업학회지
Issue Date
2024-10-31
Keywords
-
Citation
-
Source
-
Journal Title
-
Volume
26
Number
5
Start Page
488
End Page
499
DOI
https://doi.org/10.5805/SFTI.2024.26.5.488
ISSN
12292060
Abstract
Digital clothing has emerged as a new form of creative self-expression, transcending the boundaries of physical clothing. ZEPETO, a global metaverse platform by Naver, enables users to engage with customized avatars, fueling the rise of digital fashion. This study explores the characteristics of digital clothing items on ZEPETO and offers insights into user-friendly digital clothing creation by comparing the 3D modeling software Blender and Maya. A total of 4,875 digital clothing items sold on ZEPETO were analyzed and classified by type, color, pattern, and fashion sensibility. In addition, the functions, interfaces, and modeling capabilities of Blender and Maya were examined. Key findings include differences in color distribution across categories, with achromatic tones being prominent. The main patterns used in digital clothing reflected the characteristics of the items, and various patterns were observed. In terms of fashion sensibility, active sensibility was the most prevalent, while collaborative items were significantly influenced by brand characteristics, particularly in color and pattern choices. Blender, as an open-source tool, offers extensive customization and supports various 3D operations, whereas Maya provides powerful specialized tools for creating detailed and co...

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도월희 의류학과