Virtual Try
Virtual try-on (VTON) technology aims to realistically simulate the appearance of clothing on individuals using digital images, enhancing online shopping experiences and reducing return rates. Current research heavily utilizes diffusion models, often coupled with techniques like Gaussian splatting and ControlNet, to achieve high-fidelity results, addressing challenges such as handling diverse poses, occlusions (especially from hands), and generating realistic textures and wrinkles. This field is significant for its potential to revolutionize online retail and fashion design by providing more accurate and engaging virtual previews of clothing items, accessories, and even hairstyles.
Papers
Try-On-Adapter: A Simple and Flexible Try-On Paradigm
Hanzhong Guo, Jianfeng Zhang, Cheng Zou, Jun Li, Meng Wang, Ruxue Wen, Pingzhong Tang, Jingdong Chen, Ming Yang
FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Chengming Xu, Jinlong Peng, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Yanwei Fu
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models
Zhenyu Xie, Haoye Dong, Yufei Gao, Zehua Ma, Xiaodan Liang
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
Ke Sun, Jian Cao, Qi Wang, Linrui Tian, Xindi Zhang, Lian Zhuo, Bang Zhang, Liefeng Bo, Wenbo Zhou, Weiming Zhang, Daiheng Gao
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Xujie Zhang, Hanqing Zhao, Xiaodan Liang
D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
Zhaotong Yang, Zicheng Jiang, Xinzhe Li, Huiyu Zhou, Junyu Dong, Huaidong Zhang, Yong Du