关键词: 生成式对抗网络, 虚拟试衣, 条件生成

Abstract:

In view of the vague effect of Conditional Analogy GAN（CAGAN） after changing clothes, poor performance when the length of the target clothes is inconsistent with that of the original clothes, too few details are preserved relative to the target clothes, a new virtual try-on method based on improved CAGAN is proposed. The improved CAGAN generates a preliminary result and gets the mask of the target clothes after wearing on the model. Then the target clothes are deformed with mask. The deformed clothes and the results of the first step are combined to obtain the final results. The experimental results show that the method solves the previous problems and achieves very good results.

Key words: Generative Adversarial Networks（GAN）, virtual try-on, conditional generation