Artificial intelligence (AI) emphasizes the creation of intelligent machines that work and react like humans, which has been substantially changing almost every aspect of our daily life. With the rise of AI, an increasing number of researchers and practitioners have dedicated tremendous efforts to push the limit of machine intelligence. Particularly, recent advancements in computer vision, multimedia have boosted the performance of many scientific tasks, as well as the user experience in real applications. Meanwhile, the ever growing fashion industry has reached 2% share of world’s GDP in 2018. Visual fashion computation is an emerging research area that studies computable fashionrelated tasks in visual domain, e.g., item / attributes / style recognition, landmark / pose estimation, cloth / human parsing, street-to-shop retrieval, popularity prediction, outfit compatibility, design and image synthesis.
The goal of this workshop is to call for a coordinated effort to understand the scenarios and challenges emerging in visual fashion computing with AI techniques, identify key tasks and evaluate the state of the art, showcase innovative methodologies and ideas, introduce large scale real systems or applications, as well as propose new real-world datasets and discuss future directions. Fashion-related data of interest covers a wide spectrum, ranging from fashion product, human body, design and art. We solicit manuscripts in all fields that explores the synergy of fashion computation and AI techniques.