MarrNet: 3D Shape Reconstruction via 2.5D Sketches

	MarrNet: 3D Shape Reconstruction via 2.5D Sketches
	Wu, Jiajun 1; Wang, Yifan2 ; Xue, Tianfan 1; Sun, Xingyuan 3; Freeman, William T.1,4; Tenenbaum, Joshua B.1
	2017
会议录名称	ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017)
卷号	30
发表状态	已发表
摘要	3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes. This introduces challenges for learning-based approaches, as 3D object annotations are scarce in real images. Previous work chose to train on synthetic data with ground truth 3D information, but suffered from domain adaptation when tested on real data.
会议地点	Long Beach, CA, United states
收录类别	CPCI ; EI
语种	英语
资助项目	Center for Brain, Minds and Machines (NSF)[1231216]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000452649400052
出版者	NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)
EI入藏号	20182105216297
EI主题词	Three dimensional computer graphics
EI分类号	Data Processing and Image Processing:723.2
原始文献类型	Proceedings Paper
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20814
专题	信息科学与技术学院信息科学与技术学院_本科生
通讯作者	Wu, Jiajun
作者单位	1.MIT CSAIL, Cambridge, MA 02139 USA 2.ShanghaiTech Univ, Shanghai, Peoples R China 3.Shanghai Jiao Tong Univ, Shanghai, Peoples R China 4.Google Res, Mountain View, CA USA
推荐引用方式 GB/T 7714	Wu, Jiajun,Wang, Yifan,Xue, Tianfan,et al. MarrNet: 3D Shape Reconstruction via 2.5D Sketches[C]:NEURAL INFORMATION PROCESSING SYSTEMS (NIPS),2017.