Deep Extraction of Manga Structural Lines

	Deep Extraction of Manga Structural Lines
	CHENGZE LI; XUETING LIU; TIEN-TSIN WONG
刊名	ACM Transactions on Graphics (TOG)
	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
内容类型	期刊论文
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).