{"title":"Deep Learning in Face Synthesis: A Survey on Deepfakes","authors":"Teng Zhang, Lirui Deng, L. Zhang, Xianglei Dang","doi":"10.1109/CCET50901.2020.9213159","DOIUrl":null,"url":null,"abstract":"Deepfake stemming from the combined words of \"deep learning\" and \"fake\", refers to a type of fake images and video generation technology based on artificial intelligence. In recent years, with the continuous development of deep learning, especially auto-encoders and generative adversarial networks, deepfake has made tremendous progress, resulting in the emergence of some easy-to-use application software in the market, reducing the application difficulty of face-synthesis technology. This paper provides a thorough review of deepfake, introducing its development in the past three years.","PeriodicalId":236862,"journal":{"name":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCET50901.2020.9213159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Deepfake stemming from the combined words of "deep learning" and "fake", refers to a type of fake images and video generation technology based on artificial intelligence. In recent years, with the continuous development of deep learning, especially auto-encoders and generative adversarial networks, deepfake has made tremendous progress, resulting in the emergence of some easy-to-use application software in the market, reducing the application difficulty of face-synthesis technology. This paper provides a thorough review of deepfake, introducing its development in the past three years.