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AI-Stylist: An AI-based Framework for Clothing Aesthetic Understanding

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Current studies in computer science on clothing aesthetic evaluation are difficult to be practically applied as fashion is a subjective field affected by various factors, like cultural background, or physical information (e.g. skin color). On the other hand, computer is good at processing logical tasks with clear definition and evaluation index. In this work, we propose a framework which divides the aesthetic evaluation task into three levels, namely apparel harmony, personal compatibility, and personality expression, to reduce its complexity such that computer has great potential to evaluate the clothing aesthetic practically. Each level is clearly defined, and the technic solutions is proposed correspondingly. Initial work with examples is presented to demonstrate the potential of the proposed framework.

Original languageEnglish
Title of host publicationInternational Conference on Design and Semantics of Form and Movement
EditorsSara Colombo, Yihyun Lim, Miguel Bruns Alonso, Lin-Lin Chen, Loe Feijs, Jun Hu, Lin-Lin Chen, Tom Djajadiningrat, Steven Kyffin, Elif Özcan, Lucia Rampino, Edgar Rodriguez Ramirez, Dagmar Steffen
PublisherThe Hong Kong Polytechnic University
Pages266-270
Number of pages5
ISBN (Print)9780578603797
DOIs
Publication statusPublished - 2019
Event11th International Conference on Design and Semantics of Form and Movement, DeSForM 2019 - Boston, United States
Duration: 9 Oct 201911 Oct 2019

Publication series

NameInternational Conference on Design and Semantics of Form and Movement
ISSN (Electronic)2706-6150

Conference

Conference11th International Conference on Design and Semantics of Form and Movement, DeSForM 2019
Country/TerritoryUnited States
CityBoston
Period9/10/1911/10/19

Keywords

  • Ai-Stylist
  • Clothing Aesthetic Evaluation
  • Fashion
  • Understanding

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Mechanics of Materials

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