Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2020.11a
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- Pages.33-36
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- 2020
A Segmentation Guided Coarse to Fine Virtual Try-on Network for a new Clothing and Pose
- Sandagdorj, Dashdorj (Seoul National University of Science and Technology) ;
- Tuan, Thai Thanh (Seoul National University of Science and Technology) ;
- Ahn, Heejune (Seoul National University of Science and Technology)
- Published : 2020.11.28
Abstract
Virtual try on is getting interested from researchers these days because its application in online shopping. But single pose virtual try on is not enough, customer may want to see themselves in different pose. Multiple pose virtual try on is getting input as customer image, an in-shop cloth and a target pose, it will try to generate realistic customer wearing the in-shop cloth with the target pose. We first generate the target segmentation layout using conditional generative network (cGAN), and then the in-shop cloth are warped to fit the customer body in target pose. Finally, all the result will be combine using a Resnet-like network. We experiment and show that our method outperforms stage of the art.
Keywords