2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDMLR-APPL-IP-1.7
Paper Title IMPROVING THE QUALITY OF ILLUSTRATIONS: TRANSFORMING AMATEUR ILLUSTRATIONS TO A PROFESSIONAL STANDARD
Authors Keita Awane, Koki Tsubota, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, University of Tokyo, Japan; Naohiro Yanase, BOOK WALKER Co.,Ltd., Japan
SessionMLR-APPL-IP-1: Machine learning for image processing 1
LocationArea E
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Applications of Machine Learning: Machine learning for image processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We propose an amateur- to professional-level illustration translator that can modify amateur illustrations slightly to produce professional-level quality images. The proposed translator is a GAN-based image translation module. We focus only on the neighboring region of a contour to improve the quality of the illustration by applying image completion to the neighboring region of the extracted line drawing. We artificially augment amateur-level illustrations from professional-level illustrations to solve the lack of a pair of amateur-level and professional-level datasets. This enables us to automatically prepare a pair of amateur-level and professional-level images, through which we can train a translator network. Through experiments and user study, we show that the proposed method improves the quality of amateur illustrations.