A Survey of Artificial Intelligence in Fashion

Hung Jen Chen, Hong Han Shuai, Wen Huang Cheng

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The fashion industry is on the verge of an unprecedented change. Fashion applications are benefiting greatly from the development of machine learning, computer vision, and artificial intelligence. In this article, we present an overview of three major topics of fashion and associated state-of-the-art techniques: 1) fashion analysis, including popularity prediction and fashion trend analysis; 2) fashion recommendation, including fashion compatibility and outfit matching; and 3) fashion synthesis, including makeup transfer and virtual try-on. Problem formulations, method comparisons, and evaluation metrics are illustrated for each topic of fashion research. Additionally, promising directions for development in each area are outlined to inspire future research.

Original languageEnglish
Pages (from-to)64-73
Number of pages10
JournalIEEE Signal Processing Magazine
Issue number3
StatePublished - 1 May 2023


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