Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rapid development, this article provides a comprehensive survey of more than 200 major fashion-related works covering four main aspects for enabling intelligent fashion: (1) Fashion detection includes landmark detection, fashion parsing, and item retrieval; (2) Fashion analysis contains attribute recognition, style learning, and popularity prediction; (3) Fashion synthesis involves style transfer, pose transformation, and physical simulation; and (4) Fashion recommendation comprises fashion compatibility, outfit matching, and hairstyle suggestion. For each task, the benchmark datasets and the evaluation protocols are summarized. Furthermore, we highlight promising directions for future research.

中文翻译：

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时尚遇见​​计算机视觉

时尚是我们向世界展示自己的方式，并已成为世界上最大的产业之一。时尚主要通过视觉传达，因此近年来备受计算机视觉研究人员的关注。在快速发展的情况下，本文对 200 多部时尚相关的主要工作进行了全面调查，涵盖了智能时尚的四个主要方面：（1）时尚检测包括地标检测、时尚解析和项目检索；(2) 时尚分析包含属性识别、风格学习、流行度预测；(3) 时尚合成涉及风格迁移、姿势变换和物理模拟；(4)时尚推荐包括时尚搭配、穿搭搭配和发型推荐。对于每个任务，总结了基准数据集和评估协议。此外，我们强调了未来研究的有希望的方向。