让虚拟试穿衣服大小匹配真人，实现真实尺寸适配。
Size-Variable Virtual Try-On with Physical Clothes Size
- 通过对比服装轮廓残差，动态调整试穿图像大小。
- 在1524张图像上验证，生成效果优于传统方法。
- 专为尺码可变的虚拟试穿设计，适合电商应用。
本文提出一种新的图像域虚拟试穿方法，可将任意尺码的服装适配到参考人物图像上。现有基于图像的虚拟试穿方法虽能生成自然的试穿图像，但未考虑服装与人体之间的物理尺寸关系。本文方法根据服装与人体的物理尺寸比例，动态调整试穿图像中服装的图像尺寸。为解决高保真合成过程中保持服装物理尺寸的难题，本方法聚焦于参考图与试穿图中服装轮廓之间的残差。同时构建了包含26名受试者共1,524张图像的尺寸可变虚拟试穿数据集，并提出了针对该任务的评估指标。定量与定性实验结果表明，该方法在尺寸可变虚拟试穿任务上的表现优于通用虚拟试穿方法。
原文摘要 · Abstract (English)
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.
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