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Transformer-based graph neural networks for outfit generation
F Becattini, FM Teotini… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Suggesting complementary clothing items to compose an outfit is a process of emerging
interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous …
interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous …
[HTML][HTML] Attribute disentanglement with gradient reversal for interactive fashion retrieval
G Scaramuzzino, F Becattini, A Del Bimbo - Pattern Recognition Letters, 2023 - Elsevier
Interactive fashion search is gaining more and more interest thanks to the rapid diffusion of
online retailers. It allows users to browse fashion items and perform attribute manipulations …
online retailers. It allows users to browse fashion items and perform attribute manipulations …
Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis
Popular fashion compatibility modeling aims to quantitatively assess the compatibility of a
set of wearable items for everyday pairings and clothing purchases to assist human decision …
set of wearable items for everyday pairings and clothing purchases to assist human decision …
Revolutionizing Fashion Recommendations: A Deep Dive into Deep Learning-based Recommender Systems
I Kachbal, S El Abdellaoui, K Arhid - Proceedings of the 7th International …, 2024 - dl.acm.org
Fashion takes center stage in our exploration of cutting-edge recommender systems. This
paper presents an innovative approach to recommender systems for fashion that divides …
paper presents an innovative approach to recommender systems for fashion that divides …
Garment Attribute Manipulation with Multi-level Attention
V Casula, L Berlincioni, L Cultrera, F Becattini… - ar**, the need for more personalized and
interactive image retrieval systems has become paramount. Existing methods often struggle …
interactive image retrieval systems has become paramount. Existing methods often struggle …
Interactive Garment Recommendation with User in the Loop
Recommending fashion items often leverages rich user profiles and makes targeted
suggestions based on past history and previous purchases. In this paper, we work under the …
suggestions based on past history and previous purchases. In this paper, we work under the …
Fashion Forecasting: Insights into the Latest Advances in Fashion Recommendation Systems
ST Yalla, AL Ragi, M Munaga… - … Conference on Inventive …, 2024 - ieeexplore.ieee.org
Fashion is an ever-evolving industry and plays a significant role in our routine lives.
Nowadays, everyone wants to look fashionable in their outfits. The way one dress is not only …
Nowadays, everyone wants to look fashionable in their outfits. The way one dress is not only …
Research progress of clothing recommendation based on deep learning image processing.
LI Yuan, YU Miao - Wool Textile Journal, 2023 - search.ebscohost.com
In order to further explore ways to improve the accuracy of the clothing recommendation
system and improve users' shop** experience, relevant literature on the current clothing …
system and improve users' shop** experience, relevant literature on the current clothing …
Leveraging Fashion Exhibition Events and Social Media Engagement for the Promotion of Nigerian fabric Brands
OS Akinrujomu, MT Adedara - … Research (E. ISSN: 2805-413X)(P …, 2024 - ijojournals.com
This study examines the promotion of Nigerian fabric brands through fashion exhibition
events and social media engagement. Utilizing a mixed-methods research design, the study …
events and social media engagement. Utilizing a mixed-methods research design, the study …