User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks-Reference-Cited by-同舟云学术

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks

Published:2018-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM international conference on Multimedia
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Author:

Ci Yuanzheng¹,Ma Xinzhu¹,Wang Zhihui¹,Li Haojie¹,Luo Zhongxuan¹

Affiliation:

1. Dalian University of Technology, Dalian, China

Funder

National Natural Sci- ence Foundation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240508.3240661

Reference62 articles.

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2. Gwern Branwen Aaron Gokaslan Anonymous the Danbooru community. 2018. Danbooru2017: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset. https://www.gwern.net/Danbooru2017 . (January 2018). https://www.gwern.net/Danbooru2017 Gwern Branwen Aaron Gokaslan Anonymous the Danbooru community. 2018. Danbooru2017: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset. https://www.gwern.net/Danbooru2017 . (January 2018). https://www.gwern.net/Danbooru2017

3. Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein gan. arXiv preprint arXiv:1701.07875 (2017). Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein gan. arXiv preprint arXiv:1701.07875 (2017).

4. Palette-based photo recoloring

5. Sketch2Photo

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