CVPR2025
BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
Xuanpu Zhang, Dan Song, Pengxin Zhan, Tianyu Chang, Jianhao Zeng, Qingguo Chen, Weihua Luo, An-An Liu
摘要
Figure 1 . Boow-VTON achieves realistic virtual try-on results for in-the-wild scenarios, with complex foreground and background elements. While performing natural try-ons for garments, we faithfully preserve the details of the person (such as accessories, muscles, and skin) and the style of the image (including lighting, shadows, and artistic style).