Size-Variable Virtual Try-On with Physical Clothes Size

TL;DR

This paper introduces a novel virtual try-on approach that adjusts clothing size in images based on physical size relationships, enabling more realistic and size-accurate virtual fitting.

Contribution

The paper proposes a size-variable virtual try-on method that considers physical size relationships, along with a new dataset and evaluation metric for this task.

Findings

Achieves more size-accurate virtual try-on images.

Outperforms existing methods in size variability.

Provides a new dataset and evaluation metric for size-variable virtual try-on.

Abstract

This paper addresses a new virtual try-on problem of fitting any size of clothes to a reference person in the image domain. While previous image-based virtual try-on methods can produce highly natural try-on images, these methods fit the clothes on the person without considering the relative relationship between the physical sizes of the clothes and the person. Different from these methods, our method achieves size-variable virtual try-on in which the image size of the try-on clothes is changed depending on this relative relationship of the physical sizes. To relieve the difficulty in maintaining the physical size of the closes while synthesizing the high-fidelity image of the whole clothes, our proposed method focuses on the residual between the silhouettes of the clothes in the reference and try-on images. We also develop a size-variable virtual try-on dataset consisting of 1,524 images provided by 26 subjects. Furthermore, we propose an evaluation metric for size-variable virtual-try-on. Quantitative and qualitative experimental results show that our method can achieve size-variable virtual try-on better than general virtual try-on methods.