智能时尚:人工智能在虚拟试穿与时尚合成中的应用综述

Seyed Omid Mohammadi, A. Kalhor
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引用次数: 5

摘要

计算机视觉、机器学习和人工智能的快速发展,加上当前对在线购物系统日益增长的需求,为时装业提供了一个绝佳的机会。因此,世界范围内的许多研究都致力于现代时尚相关的应用,如虚拟试穿和时尚合成。然而,该领域的加速发展使得很难在一个结构化的框架中跟踪这些众多的研究分支。本文概述了这一问题,将110篇相关文章分类为这些任务的多个子类别和品种。一个易于使用但信息丰富的表格格式用于此目的。这种基于分层应用的研究多标签分类增加了当前研究的可见性,促进了该领域的发展,提供了研究方向,方便了相关研究的获取。
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Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
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.
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