Real-Time Virtual Try-On for Fashion E-Commerce Using Diffusion-Based Generative Models

DOI

10.2991/978-94-6463-976-6_10How to use a DOI?

Keywords

Virtual try-on; diffusion models; generative AI; e-commerce; OTTDiffusion; fashion technology; image synthesis; user personalization; intelligent retail systems; human–computer interaction

Abstract

This study aims to offer a new avenue for improving the virtual online shopping experience in real time with a novel virtual try-on system developed using the OTTDiffusion generative model on Hugging Face. By fusing advanced diffusion-based image synthesis with robust e-commerce platforms, this solution allows users to visualize clothing items over their images with high visual credence. Through this system, the public can interactively upload their personal pictures and choose from several catalog garments or upload their apparel images from external sources to create a highly personalized and innovative shopping experience. The system has a modern front end that allows seamless browsing, previewing, and purchasing of items while managing secure image processing, model inference, and result rendering at near-real-time speeds. This architecture addresses the crux of online fashion retail challenges, such as reducing return rates, increasing consumer confidence, and augmenting engagement. In addition, the flexible try-on framework paves the way for future extensions into multi-garment visualization, 3D fitting and augmentation overlays. It covers the technical design considerations, integration strategies, and deployment considerations for an AI-driven solution such as this, which is increasingly becoming a research domain at the intersection of computer vision, generative models, and intelligent retail technologies.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - B. Mugilan
AU  - K. Naveen
AU  - S. Revathi
PY  - 2025
DA  - 2025/12/29
TI  - Real-Time Virtual Try-On for Fashion E-Commerce Using Diffusion-Based Generative Models
BT  - Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
PB  - Atlantis Press
SP  - 142
EP  - 159
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-976-6_10
DO  - 10.2991/978-94-6463-976-6_10
ID  - Mugilan2025
ER  -