The rapid progress of computer vision, machine learning, and artificial intelligence combined with the current growing urge for online shopping systems opened an excellent opportunity for the fashion industry. As a result, many studies worldwide are dedicated to modern fashion-related applications such as virtual try-on and fashion synthesis. However, the accelerated evolution speed of the field makes it hard to track these many research branches in a structured framework. This paper presents an overview of the matter, categorizing 110 relevant articles into multiple sub-categories and varieties of these tasks. An easy-to-use yet informative tabular format is used for this purpose. Such hierarchical application-based multi-label classification of studies increases the visibility of current research, promotes the field, provides research directions, and facilitates access to related studies.
CITATION STYLE
Mohammadi, S. O., & Kalhor, A. (2021). Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis. Journal of Artificial Intelligence and Capsule Networks, 3(4), 284–304. https://doi.org/10.36548/jaicn.2021.4.002
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