We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision

Author:

Ko Hyung-Kwon1,An Subin2,Park Gwanmo2,Kim Seung Kwon3,Kim Daesik3,Kim Bohyoung4,Jo Jaemin5,Seo Jinwook2

Affiliation:

1. Webtoon AI, NAVER WEBTOON Corp., Korea, Republic of and Department of Computer Science and Engineering, Seoul National University, Korea, Republic of

2. Department of Computer Science and Engineering, Seoul National University, Korea, Republic of

3. Webtoon AI, NAVER WEBTOON Corp., Korea, Republic of

4. Division of Biomedical Engineering, Hankuk University of Foreign Studies, Korea, Republic of

5. Sungkyunkwan University, Korea, Republic of

Funder

Hankuk University of Foreign Studies

National Research Foundation of Korea

Publisher

ACM

Reference43 articles.

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3. Yazeed Alharbi and Peter Wonka . 2020 . Disentangled Image Generation Through Structured Noise Injection . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Yazeed Alharbi and Peter Wonka. 2020. Disentangled Image Generation Through Structured Noise Injection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

4. Paul André , Jaime Teevan , and Susan  T Dumais . 2009 . From x-rays to silly putty via Uranus: serendipity and its role in web search . In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2033–2036 . Paul André, Jaime Teevan, and Susan T Dumais. 2009. From x-rays to silly putty via Uranus: serendipity and its role in web search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2033–2036.

5. David Bau , Jun-Yan Zhu , Hendrik Strobelt , Bolei Zhou , Joshua  B. Tenenbaum , William  T. Freeman , and Antonio Torralba . 2019 . GAN Dissection: Visualizing and Understanding Generative Adversarial Networks . In Proceedings of the International Conference on Learning Representations (ICLR). David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, and Antonio Torralba. 2019. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. In Proceedings of the International Conference on Learning Representations (ICLR).

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