Abstract

Computer vision is a field of artificial intelligence that allows computers to derive relevant information from visual inputs and take actions accordingly. In this paper, we will study the involvement of computer vision in fashion trend analysis and its applications. We begin by understanding the general context of computer vision. We will then discuss the role that computer vision plays in the fashion industry. We will move on to see how over time, computer vision has solved and is still advancing in visual search, fashion style and trend analysis, fashion style compatibility, fashion forecasting, and fashion creativity in the order of increasing complexity. Then, we will discuss the significance of computer vision in the current complex tasks of fashion style analysis, fashion recommendations, and fashion forecasting, while reviewing some of their existing deep learning methodologies. We will then discuss the significance of deep learning in today’s approach to solving fashion trend analysis problems. Finally, we will overview the future directions of computer vision, leading us to a novel concept of fashion creativity that still requires further future study to solve potential tasks like cultural inclusivity in the fashion sphere.

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