Deep Surface Reconstruction
Deep Surface Reconstruction is a computational framework within the field of 3D geometry processing that leverages deep learning models to infer high-fidelity surface representations from sparse, noisy, or incomplete point cloud data by learning implicit or explicit geometric priors from large datasets.
64
Publications
3.9K
Citations
247
Authors
99
Institutions
Publications per year
2017–2026
58
Parents
64
Local Deep Implicit Functions for 3D Shape
Kyle Genova, Forrester Cole, Avneesh Sud et al. · 2020 · 394 citations
Patch-Based Progressive 3D Point Set Upsampling
Yifan Wang, Shihao Wu, Hui Huang et al. · 2019 · 311 citations
Monocular depth estimation based on deep learning: An overview
Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang et al. · Science China Technological Sciences · 2020 · 307 citations · Full text
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng et al. · 2020 · 263 citations
ACM Transactions on Graphics · 2020 · 223 citations · Full text
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99
ETH Zurich
Zurich, Switzerland
6 h-index
18 publications
2.3K citations
Google (United States)
Mountain View, United States
5 h-index
9 publications
2.3K citations

Ocean University of China
Qingdao, China
4 h-index
16 publications
516 citations

South China University of Technology
Guangzhou, China
4 h-index
12 publications
879 citations

University of Leicester
Leicester, United Kingdom
3 h-index
3 publications
91 citations

Peking University
Beijing, China
3 h-index
3 publications
311 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
3 publications
192 citations
Peng Cheng Laboratory
Shenzhen, China
3 h-index
3 publications
354 citations
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Repository · 9 publications · 259 citations
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TOG · 4 publications · 358 citations
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Conference · 2 publications · 91 citations
2
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2 publications · 75 citations
2
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1 publications · 70 citations
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