Virtual Try-On Solutions for Kids' Wear
Year: 2025
Type: conference-paper
Abstract: The integration of Machine Learning (ML) and Augmented Reality (AR) is revolutionizing the e-commerce industry, particularly in online fashion retail. This paper presents a Virtual Try-On Solution for Kids’ Wear, utilizing ML algorithms for body shape detection, size prediction, and realistic garment fitting. The system employs deep learning-based image processing and computer vision techniques to accurately overlay clothing items onto a child’s digital avatar or real-time image. By leveraging pose estimation, GAN-based image synthesis, and recommendation models, the solution enhances personalization, ensuring a precise fit and reducing return rate.
Authors: Tens, Diona, Devis, Jinson
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893396790
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