Fashion Meets Computer Vision: A Survey
Journal
ACM COMPUTING SURVEYS
Journal Volume
54
Journal Issue
4
Date Issued
2021
Author(s)
Abstract
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.
Subjects
Intelligent fashion; fashion detection; fashion analysis; fashion synthesis; fashion recommendation; JOINT IMAGE SEGMENTATION; FACE; BEAUTY; MODEL; PARTS
Publisher
ASSOC COMPUTING MACHINERY
Type
review