CASIA OpenIR  > 类脑智能研究中心
Recent Progress of Face Image Synthesis
Zhihe Lu(卢治合)2,3,4; Zhihang Li(李志航)1,2,4; Jie Cao(曹杰)1,2,4; Ran He(赫然)1,2,3,4; Zhenan Sun(孙哲南)1,2,4; He R(赫然)
2017-12
会议名称Asian Conference on Pattern Recognition (ACPR)
会议日期2017.11.26-2017.11.29
会议地点Nanjing, China
摘要Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning. Its main research effort is to design algorithms to generate photorealistic face images via given semantic domain. It has been a crucial prepossessing step of main-stream face recognition approaches and an excellent test of AI ability to use complicated probability distributions. In this paper, we provide a comprehensive review of typical face synthesis works that involve traditional methods as well as advanced deep learning approaches. Particularly, Generative Adversarial Net (GAN) is highlighted to generate photo-realistic and identity preserving results. Furthermore, the public available databases and evaluation metrics are introduced in details. We end the review with discussing unsolved difficulties and promising directions for future research.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/19896
专题类脑智能研究中心
通讯作者He R(赫然)
作者单位1.National Laboratory of Pattern Recognition, CASIA
2.Center for Research on Intelligent Perception and Computing, CASIA
3.Center for Excellence in Brain Science and Intelligence Technology, CAS
4.University of Chinese Academy of Sciences, Beijing
推荐引用方式
GB/T 7714
Zhihe Lu,Zhihang Li,Jie Cao,et al. Recent Progress of Face Image Synthesis[C],2017.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Recent Progress of F(197KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhihe Lu(卢治合)]的文章
[Zhihang Li(李志航)]的文章
[Jie Cao(曹杰)]的文章
百度学术
百度学术中相似的文章
[Zhihe Lu(卢治合)]的文章
[Zhihang Li(李志航)]的文章
[Jie Cao(曹杰)]的文章
必应学术
必应学术中相似的文章
[Zhihe Lu(卢治合)]的文章
[Zhihang Li(李志航)]的文章
[Jie Cao(曹杰)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Recent Progress of Face Image Synthesis.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。