人气
计算机科学
时尚产业
人工智能
相容性(地球化学)
数据科学
人机交互
工程类
服装
心理学
化学工程
社会心理学
历史
考古
作者
Hung-Jen Chen,Hong-Han Shuai,Wen-Huang Cheng
出处
期刊:IEEE Signal Processing Magazine
[Institute of Electrical and Electronics Engineers]
日期:2023-05-01
卷期号:40 (3): 64-73
被引量:7
标识
DOI:10.1109/msp.2022.3233449
摘要
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.
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