{"title":"语义先验引导面部彩绘","authors":"Zeyang Zhang, Xiaobo Zhou, Shengjie Zhao, Xiaoyan Zhang","doi":"10.1145/3338533.3366587","DOIUrl":null,"url":null,"abstract":"Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of face image details, inpainting on the face is more difficult. At present, face-related tasks often draw on excellent methods from face recognition and face detection, using multitasking to boost its effect. Therefore, this paper proposes to add the face prior knowledge to the existing advanced inpainting model, combined with perceptual loss and SSIM loss to improve the model repair efficiency. A new face inpainting process and algorithm is implemented, and the repair effect is improved.","PeriodicalId":273086,"journal":{"name":"Proceedings of the ACM Multimedia Asia","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Semantic Prior Guided Face Inpainting\",\"authors\":\"Zeyang Zhang, Xiaobo Zhou, Shengjie Zhao, Xiaoyan Zhang\",\"doi\":\"10.1145/3338533.3366587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of face image details, inpainting on the face is more difficult. At present, face-related tasks often draw on excellent methods from face recognition and face detection, using multitasking to boost its effect. Therefore, this paper proposes to add the face prior knowledge to the existing advanced inpainting model, combined with perceptual loss and SSIM loss to improve the model repair efficiency. A new face inpainting process and algorithm is implemented, and the repair effect is improved.\",\"PeriodicalId\":273086,\"journal\":{\"name\":\"Proceedings of the ACM Multimedia Asia\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Multimedia Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3338533.3366587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Multimedia Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3338533.3366587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of face image details, inpainting on the face is more difficult. At present, face-related tasks often draw on excellent methods from face recognition and face detection, using multitasking to boost its effect. Therefore, this paper proposes to add the face prior knowledge to the existing advanced inpainting model, combined with perceptual loss and SSIM loss to improve the model repair efficiency. A new face inpainting process and algorithm is implemented, and the repair effect is improved.