%0 Journal Article
%A CHEN Yuefurong
%A LI Yi
%T Virtual Try-On Method Introducing Differential Constraints and Adversarial Training Strategies
%D 2022
%R 10.3778/j.issn.1002-8331.2104-0130
%J Computer Engineering and Applications
%P 286-293
%V 58
%N 21
%X In order to solve the problem of excessive clothing deformation and lack of texture in CP-VTON fittings, the skin color detection algorithm based on the ellipse model is used to correct the wrong division in the analysis area of the human body, and a differential constraint item defined according to the actual mesh is proposed. The thin plate spline transformation parameters learned and predicted by the constrained regression network to produce deformed clothing that meets the body shape of the target person. The U-Net-like network structure is used as the generator, the improved convolutional neural network is used as the discriminator. Generative confrontation training strategy is introduced to fuse the deformed clothing and the target person. Finally, the mask of the common area of the arm is obtained by re-recognition, and Poisson fusion is used to repair the hand feature information to improve the clarity of the hand. Experiments on VITON data set show that this method solves the original problems and achieves a better virtual fitting effect.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2104-0130