Image-based clothes changing system

作     者：Zhao-Heng Zheng Hao-Tian Zhang Fang-Lue Zhang Tai-Jiang Mu 

作者机构：Computer Science and Engineering University of Michigan Computer Science Department Stanford University School of Engineering and Computer Science Victoria University of Wellington TNList Tsinghua University 

出 版 物：《Computational Visual Media》 (计算可视媒体（英文版）)

年 卷 期：2017年第3卷第4期

页      面：337-346页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (Project No. 61521002) Research Grant of Beijing Higher Institution Engineering Research Center 

主　　题：clothing try-on image warping human segmentation 

摘      要：Current image-editing tools do not match up to the demands of personalized image manipulation,one application of which is changing clothes in usercaptured images. Previous work can change single color clothes using parametric human warping *** this paper, we propose an image-based clothes changing system, exploiting body factor extraction and content-aware image warping. Image segmentation and mask generation are first applied to the user ***, we determine joint positions via a neural network. Then, body shape matching is performed and the shape of the model is warped to the user s shape. Finally, head swapping is performed to produce realistic virtual results. We also provide a supervision and labeling tool for refinement and further assistance when creating a dataset.