The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Outfit Recommendation (OR) in the fashion domain has evolved through two stages: Pre-
defined Outfit Recommendation and Personalized Outfit Composition. However, both stages …

This paper focuses on personalized outfit generation, aiming to generate compatible fashion
outfits catering to given users. Personalized recommendation by generating outfits of …

The rising diversity, volume, and pace of fashion manufacturing pose a considerable
challenge in the fashion industry, making it difficult for customers to pick which product to …

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 …

In this independent report fAshIon after fashion, we examine the development of fAshIon
(artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor …

The outfit generation problem involves recommending a complete outfit to a user based on
their interests. Existing approaches focus on recommending items based on anchor items or …

When thinking about dressing oneself, people often have a theme in mind whether they're
going to a tropical getaway or wish to appear attractive at a cocktail party. A useful outfit …

Personalized clothing recommendation remains challenging due to the richness of fashion
item representations, the non-uniqueness of fashion compatibility relationship and the …