Low-frequency Guided Self-supervised Learning for High-fidelity 3D Face Reconstruction in the Wild | |
Wang, Pengrui1,3; Lin, Chunze2; Xu, Bo3; Che, Wujun3; Wang, Quan2 | |
2020-07 | |
会议日期 | 2020-7-6~2020-7-10 |
会议地点 | London, UK |
英文摘要 | In this paper, we propose a low-frequency guided self-supervised learning method for high-fidelity 3D face reconstruction from an in-the-wild image. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40394] |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
通讯作者 | Che, Wujun |
作者单位 | 1.University of Chinese Academy of Sciences, China 2.Sensetime Research 3.Institute of Automation, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Wang, Pengrui,Lin, Chunze,Xu, Bo,et al. Low-frequency Guided Self-supervised Learning for High-fidelity 3D Face Reconstruction in the Wild[C]. 见:. London, UK. 2020-7-6~2020-7-10. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论