典型文献
Reference-guided structure-aware deep sketch colorization for cartoons
文献摘要：
Digital cartoon production requires exten-sive manual labor to colorize sketches with visually pleasant color composition and color shading.During colorization,the artist usually takes an existing cartoon image as color guidance,particularly when colorizing related characters or an animation sequence.Reference-guided colorization is more intuitive than colorization with other hints,such as color points or scribbles,or text-based hints.Unfortunately,reference-guided colorization is challenging since the style of the colorized image should match the style of the reference image in terms of both global color composition and local color shading.In this paper,we propose a novel learning-based framework which colorizes a sketch based on a color style feature extracted from a reference color image.Our framework contains a color style extractor to extract the color feature from a color image,a colorization network to generate multi-scale output images by combining a sketch and a color feature,and a multi-scale discriminator to improve the reality of the output image.Extensive qualitative and quantitative evaluations show that our method outperforms existing methods,providing both superior visual quality and style reference consistency in the task of reference-based colorization.
文献关键词：
中图分类号：
作者姓名：
Xueting Liu;Wenliang Wu;Chengze Li;Yifan Li;Huisi Wu
作者机构：
Caritas Institute of Higher Education,Hong Kong SAR,China;Shenzhen University,Shenzhen 518060,China
文献出处：
引用格式：
[1]Xueting Liu;Wenliang Wu;Chengze Li;Yifan Li;Huisi Wu-.Reference-guided structure-aware deep sketch colorization for cartoons)[J].计算可视媒体（英文）,2022(01):135-148
A类：
colorization,cartoons,colorize,sketches,colorizing,scribbles,colorized,colorizes
B类：
Reference,guided,structure,aware,deep,Digital,production,requires,exten,manual,labor,visually,pleasant,composition,shading,During,artist,usually,takes,existing,guidance,particularly,when,related,characters,animation,sequence,more,intuitive,than,other,hints,such,points,text,Unfortunately,reference,challenging,since,style,should,match,terms,both,global,local,In,this,paper,we,propose,novel,learning,framework,which,feature,extracted,from,Our,contains,extractor,network,generate,multi,scale,output,images,by,combining,discriminator,improve,reality,Extensive,qualitative,quantitative,evaluations,show,that,our,outperforms,methods,providing,superior,quality,consistency,task
AB值：
0.453867
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
