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Automatic Stylized Plaid Check Pattern Try-on

Authors
Kim, J.Park, J.Kwon, Junseok
Issue Date
Dec-2021
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, v.2021-October, pp 1703 - 1706
Pages
4
Journal Title
International Conference on ICT Convergence
Volume
2021-October
Start Page
1703
End Page
1706
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/54906
DOI
10.1109/ICTC52510.2021.9621177
ISSN
2162-1233
Abstract
In interest of pleasing the needs of customers finding new styles in fashion, we present a novel method that is capable of creating novel plaid and check patterned shirts based on consumer taste integrated with well-known art piece, as well as giving a predicted look of the shirt on the customer. This is done through a combination of three existing deep neural networks [1]-[3]. Since public stores are closing due to the COVID-19, customers are unable to try out apparel before purchasing. Qualitative experiments demonstrate the effectiveness of the proposed method. We believe that our service meets the need of frustrated customers in the pandemic of COVID-19. © 2021 IEEE.
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Kwon, Junseok
소프트웨어대학 (소프트웨어학부)
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