Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On

Nannan Zhang; Yijiang Li; Dong Du; Zheng Chong; Zhengwentai Sun; Jianhao Zeng; Yusheng Dai; Zhengyu Xie; Hairui Zhu; Xiaoguang Han

doi:10.1109/cvpr52734.2025.01494

CVPR2025顶会

Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On

Nannan Zhang, Yijiang Li, Dong Du, Zheng Chong, Zhengwentai Sun, Jianhao Zeng, Yusheng Dai, Zhengyu Xie, Hairui Zhu, Xiaoguang Han

DOI 出版方

2025年份

4顶会引用

摘要

With the fused multi-scale clothing features, we employ a coarse-to-fine diffusion model to generate realistic and detailed results. Extensive experiments conducted on the Deepfashion and MPV datasets affirm the superiority of our method, achieving state-of-the-art performance.