中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep Extraction of Manga Structural Lines

文献类型:期刊论文

作者CHENGZE LI; XUETING LIU; TIEN-TSIN WONG
刊名ACM Transactions on Graphics (TOG)
出版日期2017
文献子类期刊论文
英文摘要Extraction of structural lines from pattern-rich manga is a crucial step for migrating legacy manga to digital domain. Unfortunately, it is very challenging to distinguish structural lines from arbitrary, highly-structured, and black-and-white screen patterns. In this paper, we present a novel datadriven approach to identify structural lines out of pattern-rich manga, with no assumption on the patterns. The method is based on convolutional neural networks. To suit our purpose, we propose a deep network model to handle the large variety of screen patterns and raise output accuracy. We also develop an efficient and effective way to generate a rich set of training data pairs. Our method suppresses arbitrary screen patterns no matter whether these patterns are regular, irregular, tone-varying, or even pictorial, and regardless of their scales. It outputs clear and smooth structural lines even if these lines are contaminated by and immersed in complex patterns. We have evaluated our method on a large number of mangas of various drawing styles. Our method substantially outperforms state-of-the-art methods in terms of visual quality. We also demonstrate its potential in various manga applications, including manga colorization, manga retargeting, and 2.5D manga generation.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11595]  
专题深圳先进技术研究院_集成所
作者单位ACM Transactions on Graphics (TOG)
推荐引用方式
GB/T 7714
CHENGZE LI,XUETING LIU,TIEN-TSIN WONG. Deep Extraction of Manga Structural Lines[J]. ACM Transactions on Graphics (TOG),2017.
APA CHENGZE LI,XUETING LIU,&TIEN-TSIN WONG.(2017).Deep Extraction of Manga Structural Lines.ACM Transactions on Graphics (TOG).
MLA CHENGZE LI,et al."Deep Extraction of Manga Structural Lines".ACM Transactions on Graphics (TOG) (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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