VirtuTry: AI-Powered Virtual Outfit Try-On System

The Virtual Try-On System is an image-based solution that enables seamless integration of in-shop clothing onto a user’s image without relying on 3D modelling. Utilizing a coarse-to-fine strategy, the system generates a synthesized image where the target clothing item is overlaid on the user while preserving the person’s pose and attributes. It refines the clothing area to maintain key details such as texture, logos, and embroidery, ensuring a photo-realistic result. The solution addresses spatial misalignment challenges using a Geometric Matching Module (GMM) to accurately transform clothing into the user’s body shape. It further enhances realism by blending warped clothes with the rendered image to produce smooth, artifact-free results. Designed to enhance customer engagement, reduce return rates, and provide a personalized shopping experience, the Virtual Try-On System bridges the gap between physical and digital retail, showcasing the potential of technology to transform e-commerce into an interactive and immersive platform.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-04
DOI
https://doi.org/10.5281/zenodo.15335225
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

VirtuTry: AI-Powered Virtual Outfit Try-On System

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

VirtuTry: AI-Powered Virtual Outfit Try-On System

article en

Abstract

The Virtual Try-On System is an image-based solution that enables seamless integration of in-shop clothing onto a user’s image without relying on 3D modelling. Utilizing a coarse-to-fine strategy, the system generates a synthesized image where the target clothing item is overlaid on the user while preserving the person’s pose and attributes. It refines the clothing area to maintain key details such as texture, logos, and embroidery, ensuring a photo-realistic result. The solution addresses spatial misalignment challenges using a Geometric Matching Module (GMM) to accurately transform clothing into the user’s body shape. It further enhances realism by blending warped clothes with the rendered image to produce smooth, artifact-free results. Designed to enhance customer engagement, reduce return rates, and provide a personalized shopping experience, the Virtual Try-On System bridges the gap between physical and digital retail, showcasing the potential of technology to transform e-commerce into an interactive and immersive platform.

Zenodo (CERN European Organization for Nuclear Research)
Krishna University (IN)
Openalex Percentile: Top 56%
Generative Adversarial Networks and Image Synthesis
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VirtuTry: AI-Powered Virtual Outfit Try-On System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS