AIMC Topic: Clothing

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Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Neural networks : the official journal of the International Neural Network Society
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...

A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

Proceedings of the National Academy of Sciences of the United States of America
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions. However, the requirements for device-skin cou...

A Semantic-Aware Attention and Visual Shielding Network for Cloth-Changing Person Re-Identification.

IEEE transactions on neural networks and learning systems
Cloth-changing person re-identification (ReID) is a newly emerging research topic that aims to retrieve pedestrians whose clothes are changed. Since the human appearance with different clothes exhibits large variations, it is very difficult for exist...

A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.

Scientific reports
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weathe...

Clothing-invariant contrastive learning for unsupervised person re-identification.

Neural networks : the official journal of the International Neural Network Society
Clothing change person re-identification (CC-ReID) aims to match images of the same person wearing different clothes across diverse scenes. Leveraging biological features or clothing labels, existing CC-ReID methods have demonstrated promising perfor...

Computer Vision in Human Analysis: From Face and Body to Clothes.

Sensors (Basel, Switzerland)
For decades, researchers of different areas, ranging from artificial intelligence to computer vision, have intensively investigated human-centered data, i [...].

Deep Learning System for Recycled Clothing Classification Linked to Cloud and Edge Computing.

Computational intelligence and neuroscience
Recently, IT technologies related to the Fourth Industrial Revolution (4IR), such as artificial intelligence (AI), Internet of things (IoT), cloud computing, and edge computing have been studied. Although there are many used clothing occurrences with...

Artificial Intelligence Technology Driven Environmental Factors Extraction and Analysis Method in Traditional Clothing Handicraft.

Journal of environmental and public health
The application of artificial intelligence (AI) technology in the field of clothes can provide a good development mode and system under the social context of AI technology development. AI provides help for the development of intelligent clothing. Int...

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning.

Computational intelligence and neuroscience
Most clothing recommendation methods have problems such as high resource consumption and inconsistent subjectively labeled clothing labels. Based on this, a multilabel classification algorithm based on deep learning (DL) theory is introduced, based o...

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm.

Computational intelligence and neuroscience
With the rapid economic development and rising consumption levels in recent years, people are becoming more and more demanding in terms of style and fashion of clothes. As a result, customer demand for personalised clothing is increasing and the need...