{"title":"自信意识实用的动画风格着色","authors":"Daichi Ishii, Hiroyuki Kubo, Seitaro Shinagawa, Akinobu Maejima, Takuya Funatomi, Satoshi Nakamura, Y. Mukaigawa","doi":"10.1145/3388767.3407331","DOIUrl":null,"url":null,"abstract":"We propose practical anime-style colorization of an input line-drawing. The key idea is the strategic withdrawal which reflects the prediction confidence that indicates the expected accuracy of the predicted color labels. Furthermore, we investigate the relation between the proposed confidence, prediction accuracy, and number of automatically colorized regions to maximize the efficiency of the colorization process including both automatic prediction and manual correction for practical use in production.","PeriodicalId":368810,"journal":{"name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Confidence-aware Practical Anime-style Colorization\",\"authors\":\"Daichi Ishii, Hiroyuki Kubo, Seitaro Shinagawa, Akinobu Maejima, Takuya Funatomi, Satoshi Nakamura, Y. Mukaigawa\",\"doi\":\"10.1145/3388767.3407331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose practical anime-style colorization of an input line-drawing. The key idea is the strategic withdrawal which reflects the prediction confidence that indicates the expected accuracy of the predicted color labels. Furthermore, we investigate the relation between the proposed confidence, prediction accuracy, and number of automatically colorized regions to maximize the efficiency of the colorization process including both automatic prediction and manual correction for practical use in production.\",\"PeriodicalId\":368810,\"journal\":{\"name\":\"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3388767.3407331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388767.3407331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose practical anime-style colorization of an input line-drawing. The key idea is the strategic withdrawal which reflects the prediction confidence that indicates the expected accuracy of the predicted color labels. Furthermore, we investigate the relation between the proposed confidence, prediction accuracy, and number of automatically colorized regions to maximize the efficiency of the colorization process including both automatic prediction and manual correction for practical use in production.