Size-Variable Virtual Try-On with Physical Clothes Size
This addresses a specific gap in virtual try-on for e-commerce by enabling size-variable fitting, though it is incremental as it builds on existing image-based methods.
The paper tackles the problem of virtual try-on by adjusting clothing size in images based on physical size relationships between clothes and a person, achieving better results than general methods through a dataset of 1,524 images and a new evaluation metric.
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.