东华大学学报（英文版）2024，Vol.41Issue(1)：28-36,9.DOI:10.19884/j.1672-5220.202211004
OFP-VTON:基于感受野模块的原有特征保持虚拟试衣网络
Original Feature Preserving Virtual Try-on Network Based on Receptive Field Block
摘要
Abstract
Computer vision-based virtual try-on(VITON)technology refers to warping and composing the try-on clothing according to the model image features into the model image to replace the original clothing parts.Current VITON methods have two main challenges:insufficient preservation of original features such as the head,bottom,and background of the model image;poor matching of the warped try-on clothing to the model image.To solve these two problems,an original feature preserving virtual try-on network(OFP-VTON)is proposed,which consists of semantic segmentation map generation,try-on clothing warping,and try-on image synthesis.In the try-on clothing warping phase,the network learns the mapping of warping of the clothing worn in the model image to better constrain the try-on warping.In the try-on image synthesis phase,the original features of the model image are extracted and preserved,and a receptive field block(RFB)is introduced to preserve the features of try-on clothing as much as possible.Qualitative and quantitative experiments on the publicly available VITON dataset show that the proposed OFP-VTON better preserves the original features and that the warped try-on clothing matches the model images better than the baseline method.关键词
虚拟试衣(VITON)/深度学习/感受野模块(RFB)/原有特征保留Key words
virtual try-on(VITON)/deep learning/receptive field block(RFB)/original feature preserving分类
信息技术与安全科学引用本文复制引用
王昭阳,陶然,卢海伦..OFP-VTON:基于感受野模块的原有特征保持虚拟试衣网络[J].东华大学学报（英文版）,2024,41(1):28-36,9.基金项目
National Key Research and Development Program of China(No.2020YFB1707700) （No.2020YFB1707700）
Fundamental Research Funds for the Central Universities,China(No.20D111201) （No.20D111201）
