Yi Lihamu·Ya Ermaimaiti, Po Wang, Ying Tezhaer· Ai Shanjiang
{"title":"Face photo-line drawings synthesis based on local extraction preserving generative adversarial networks","authors":"Yi Lihamu·Ya Ermaimaiti, Po Wang, Ying Tezhaer· Ai Shanjiang","doi":"10.1080/13682199.2024.2315848","DOIUrl":null,"url":null,"abstract":"Facial photo-to-sketch synthesis is crucial for entertainment and criminal investigations, yet challenges persist, including local detail blurring and identity feature loss. To mitigate these probl...","PeriodicalId":22456,"journal":{"name":"The Imaging Science Journal","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Imaging Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13682199.2024.2315848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Facial photo-to-sketch synthesis is crucial for entertainment and criminal investigations, yet challenges persist, including local detail blurring and identity feature loss. To mitigate these probl...