The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks
(CNNs) in creating artistic imagery by separating and recombining image content and style …

Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

How do we determine whether two or more clothing items are compatible or visually
appealing? Part of the answer lies in understanding of visual aesthetics, and is biased by …

Online stores have become fundamental for the fashion industry, revolving around
recommendation systems to suggest appropriate items to customers. Such …

Owing to the recent advances in the multimedia processing domain and the publicly
available large-scale real-world data provided by online fashion communities, like the IQON …

As handling fashion big data with Artificial Intelligence (AI) has become exciting challenges
for computer scientists, fashion studies have received increasing attention in computer …

Fine-grained attribute recognition is critical for fashion understanding, yet is missing in
existing professional and comprehensive fashion datasets. In this paper, we present a large …

Recent years have witnessed a growing trend of building the capsule wardrobe by
minimizing and diversifying the garments in their messy wardrobes. Thanks to the recent …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

With the boom of the fashion market and people's daily needs for beauty, clothing matching
has gained increased research attention. In a sense, tackling this problem lies in modeling …