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Generative AI in Fashion: Overview
W Shi, W Wong, X Zou - ACM Transactions on Intelligent Systems and …, 2025 - dl.acm.org
Generative Artificial Intelligence (GenAI) has recently gained immense popularity by offering
various applications for generating high-quality and aesthetically pleasing content of image …
various applications for generating high-quality and aesthetically pleasing content of image …
Learning degradation-independent representations for camera ISP pipelines
Image signal processing (ISP) pipeline plays a fundamental role in digital cameras which
converts raw Bayer sensor data to RGB images. However ISP-generated images usually …
converts raw Bayer sensor data to RGB images. However ISP-generated images usually …
Fashionfail: Addressing failure cases in fashion object detection and segmentation
In the realm of fashion object detection and segmentation for online shop** images,
existing state-of-the-art fashion parsing models encounter limitations, particularly when …
existing state-of-the-art fashion parsing models encounter limitations, particularly when …
Uni-DlLoRA: Style Fine-Tuning for Fashion Image Translation
F Liao, X Zou, W Wong - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Image-to-image (i2i) translation has achieved notable success, yet remains challenging in
scenarios like real-to-illustrative style transfer of fashion. Existing methods focus on …
scenarios like real-to-illustrative style transfer of fashion. Existing methods focus on …
DMAP: Decoupling-Driven Multi-Level Attribute Parsing for Interpretable Outfit Collocation
Z Su, Y Chen, F Zhang, R Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Outfit collocation requires considering the interrelationship and adaptability among the
attributes of component items. However, with the numerous and diverse attributes of fashion …
attributes of component items. However, with the numerous and diverse attributes of fashion …
Rethinking sequential relationships: Improving sequential recommenders with inter-sequence data augmentation
Predicting customer preferences for each item is a prerequisite module for most
recommender systems in e-commerce. However, the sparsity of behavioral data is often a …
recommender systems in e-commerce. However, the sparsity of behavioral data is often a …
Comparative Analysis of Visual Attribute Tagging Models for Upper-Body Clothing Products
E Kaya, M Yanık - 2024 9th International Conference on …, 2024 - ieeexplore.ieee.org
Accurate classification of fashion attributes is crucial for improving product recommendations
and customer experience in e-commerce. In this study, we evaluate the performance of three …
and customer experience in e-commerce. In this study, we evaluate the performance of three …
Automated quantification of white blood cells in light microscopic images of injured skeletal muscle
Y Jiao, H Derakhshan, BSP Schneider… - 2018 IEEE 8th …, 2018 - ieeexplore.ieee.org
White blood cells (WBCs) are the most diverse cell types observed in the healing process of
injured skeletal muscles. In the course of healing, WBCs exhibit dynamic cellular response …
injured skeletal muscles. In the course of healing, WBCs exhibit dynamic cellular response …
Complex-Structured Optimization Problems in Distributed Learning
Z Liu - 2024 - search.proquest.com
In recent years, machine learning (ML) has achieved astonishing success in many areas,
including robotics, image recognition, natural language processing, and recommender …
including robotics, image recognition, natural language processing, and recommender …
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
Recently, multi-objective optimization (MOO) problems have received increasing attention
due to their wide range of applications in various fields, such as machine learning (ML) …
due to their wide range of applications in various fields, such as machine learning (ML) …