CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Zheng Chong; Xiao Dong; Haoxiang Li; Shiyue Zhang; Wenqing Zhang; Hanqing Zhao; Xujie Zhang; Dongmei Jiang; Xiaodan Liang

doi:10.48550/arxiv.2407.15886

ICLR2025顶会

CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Hanqing Zhao, Xujie Zhang, Dongmei Jiang, Xiaodan Liang

arXiv DOI 出版方

2025年份

40顶会引用

摘要

Published as a conference paper at ICLR 2025 pared to other diffusion-based methods. Extensive experiments demonstrate that CatVTON achieves superior qualitative and quantitative results compared to baseline methods and demonstrates strong generalization performance in in-the-wild scenarios, despite being trained solely on public datasets with 73K samples.