Learning-Based Surface Reconstruction is a surface reconstruction method that leverages machine learning models to infer and reconstruct 3D surfaces from raw sensory data by learning implicit or explicit geometric representations from large datasets.
105
Publications
4.6K
Citations
330
Authors
138
Institutions
Publications per year
2017–2026
80
Parents
Publications
105
Local Deep Implicit Functions for 3D Shape
Kyle Genova, Forrester Cole, Avneesh Sud et al. · 2020 · 394 citations
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
Jiaming Sun, Yiming Xie, Linghao Chen et al. · 2021 · 304 citations
Surface Reconstruction and Catalysis
Gábor A. Somorjai · Annual Review of Physical Chemistry · 1994 · 226 citations
1–5 of 105
Authors
330
- YL
6
h-index
- KJ
5
h-index
- BM
5
h-index
- ZH
4
h-index
- JZ
4
h-index
1–5 of 330
Institutions
138
Tsinghua University
Beijing, China
7 h-index
14 publications
483 citations
South China University of Technology
Guangzhou, China
4 h-index
12 publications
738 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
4 h-index
15 publications
288 citations
Wayne State University
Detroit, United States
4 h-index
4 publications
150 citations
Technical University of Munich
Munich, Germany
4 h-index
6 publications
339 citations
Google (United States)
Mountain View, United States
4 h-index
15 publications
2.4K citations
ETH Zurich
Zurich, Switzerland
4 h-index
9 publications
228 citations
University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
12 publications
339 citations
1–8 of 138
Venues
- arXiv (Cornell University)
Repository · 9 publications · 251 citations
9
h-index
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 4 publications · 186 citations
4
h-index
- The Visual Computer
2 publications · 32 citations
3
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 3 publications · 263 citations
3
h-index
- Computer-Aided Design
3 publications · 143 citations
3
h-index
1–5