教師資料查詢 | 類別: 期刊論文 | 教師: 林慧珍LIN HWEI-JEN (瀏覽個人網頁)

標題:MultipleStyle Image Transfer System Using Conditional CycleGAN
學年109
學期2
出版(發表)日期2021/02/01
作品名稱MultipleStyle Image Transfer System Using Conditional CycleGAN
作品名稱(其他語言)
著者Ching-Ting Tu; Jen Lin; Yihjia Tsia
單位
出版者
著錄名稱、卷期、頁數Imaging Science Journal
摘要This paper aims to extend the capability of Cycle-Consistent Adversarial Network (CycleGAN) by equipping it with a conditional constraint and extend it into a multi-style image transfer system that can transfer images among more than two image domains. The conditional constraint is given in the form of the target style feature map instead of a one-hot vector, and has shown to provide better transfer results. The proposed system offers greater flexibility for users to choose the style for image transfer. Experimental results show that such an architecture is not only feasible but also yields good results. The proposed architecture can be extended to other transformation applications, such as facial expressions transfer, face aging, and synthesis of various features.
關鍵字Convolutional Neural Network (CNN);deep learning;Generative Adversarial Net (GAN);Conditional GAN (CGAN);CycleGAN;Conditional CycleGAN;PatchGAN;image style transfer
語言英文
ISSN1368-2199
期刊性質國外
收錄於SCI;
產學合作
通訊作者林慧珍
審稿制度
國別英國
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 優質教育,產業創新與基礎設施
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