Influence of Training Times and Sample Size on Results in Visual Try-On with GAN

doi:10.1088/1742-6596/1903/1/012025

科研成果详情

题名	Influence of Training Times and Sample Size on Results in Visual Try-On with GAN
作者	Jiang，Wenqing 1; Qi，Ruiyu 2; Zheng，Juntao 3
发表日期	2021-05-11
会议录名称	Journal of Physics: Conference Series
ISSN	1742-6588
卷号	1903
期号	1
摘要	With online shopping becoming more and more trendy these days, Virtual Try-On Approach is proposed. It is a method of Generative Adversarial Network (GAN) composes of two models: Geometry Matching Module (GMM) and Try-On Module (TOM). It is proposed to solve the inconvenience of customers for not being able to see the fitting effect before receiving the goods. This paper is about finding the relationship between dataset and the effect of the experiment in the GAN experiment. After implementing the models and gaining the result images, we do some observations on the GMM one and try to analyze it and improve the effect. Comparison is made on different aspects: training times of the model and sample size of the training input. Similar trends are shown on the decrease of loss value when the training times or sample size rises. However, the visual effect is not necessarily improved all the time. Compared with the times it has been trained, the improvement from training times is far less than that from the sample size. Finally, we draw the conclusion that the effect is gradually improved as the training times or sample size increases at the beginning. Nevertheless, the improvement cannot be recognized evidently when the training times and sample size have grown large enough. Additionally, the sample size seems to be a more significant factor in the improvement of the visual effect than the training times.
DOI	10.1088/1742-6596/1903/1/012025
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85106162047
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6008
专题	北师香港浸会大学
通讯作者	Jiang，Wenqing
作者单位	1.Computer Science and Technology,Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai, Guangdong,519087,China 2.Chemical and Biomolecular Engineering,Lehigh University,Bethlehem,18015,United States 3.Internet of Things,Guangdong Ocean University,Zhanjiang, Guangdong,524088,China
第一作者单位	北师香港浸会大学
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Jiang，Wenqing,Qi，Ruiyu,Zheng，Juntao. Influence of Training Times and Sample Size on Results in Visual Try-On with GAN[C], 2021.