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 …

This review explores the integration of enhanced personalization and seamless multimodal
interfaces in the field of fashion design and recommendation. We examine the increasing …

The rapidly evolving fields of e-commerce and metaverse continue to seek innovative
approaches to enhance the consumer experience. At the same time, recent advancements …

Image-generating AI provides diverse sources for ideation in fashion design education. This
study explores how collaborative fashion ideation with AI influences image thinking and …

Recommendation systems are widely used to filter massive information. However, they often
face the challenges of cold start and sparsity problems, limiting their effectiveness. Bayesian …

Research related to fashion and e-commerce domains is gaining attention in computer
vision and multimedia communities. Following this trend, this article tackles the task of …

The increasing prominence of e-commerce has underscored the importance of Virtual Try-
On (VTON). However, previous studies predominantly focus on the 2D realm and rely …

Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which
has attracted increasing attention in recent years. Different from traditional fashion retrieval …

Using the user's past activity across different domains, the cross-domain recommendation
(CDR) predicts the items that users are likely to click. Most recent studies on CDR model …

Fashion image captioning is a critical task in the fashion industry that aims to automatically
generate product descriptions for fashion items. However, existing fashion image captioning …