MYCloth: Towards Intelligent and Interactive Online T-Shirt Customization based on User's Preference

TL;DR

MYCloth is an innovative online T-shirt customization system that combines AI models for text refinement, image generation, and virtual try-on to provide an interactive, efficient, and satisfying user experience.

Contribution

This work introduces a novel AI-driven system integrating ChatGPT, Stable Diffusion, and virtual try-on models for enhanced online T-shirt customization.

Findings

System effectively streamlines customization process

User satisfaction significantly improved

High-quality, personalized T-shirt designs generated

Abstract

In conventional online T-shirt customization, consumers, \ie, users, can achieve the intended design only after repeated adjustments of the design prototypes presented by sellers in online dialogues. However, this process is prone to limited visual feedback and cumbersome communication, thus detracting from users' customization experience and time. This paper presents an intelligent and interactive online customization system, named \textbf{MYCloth}, aiming to enhance the T-shirt customization experience. Given the user's text input, our MYCloth employs ChatGPT to refine the text prompt and generate the intended paint of the cloth via the Stable Diffusion model. Our MYCloth also enables the user to preview the final outcome via a novel learning-based virtual try-on model. The whole system allows to iteratively adjust the cloth till optimal design is achieved. We verify the system's efficacy through a series of performance evaluations and user studies, highlighting its ability to streamline the online customization process and improve overall satisfaction.