A Symmetry Prior for Convex Variational 3D Reconstruction
By Pablo Speciale, Martin R. Oswald, Andrea Cohen, Marc Pollefeys. 2016
67 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Matthias Nießner
- Angela Dai
- Charles Ruizhongtai Qi
- Andrew Markham
- Bo Yang
- Agathoniki Trigoni
- Hongkai Wen
- Stefano Rosa
In Computer Graphics and Computer-Aided Design
- Matthias Nießner
- Angela Dai
- Andrew Markham
- Bo Yang
- Agathoniki Trigoni
- Hongkai Wen
- Charles Ruizhongtai Qi
- Scott E. Reed
In Computer Vision and Pattern Recognition
- Matthias Nießner
- Angela Dai
- Luc Van Gool
- Andrea Vedaldi
- Jitendra Malik
- Xiaogang Wang
- Dacheng Tao
- Trevor Darrell
Citations in the corpus
- Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis (2016, background): “For instance, many works detect symmetries in meshes or point clouds, and use them to fill in missing data [41, 23, 30, 36, 39].”
- ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans (2017, methodology): “Other shape completion methods have been developed, including approaches that leverage symmetries in meshes or point clouds [40, 19, 26, 34, 37] or part-based structural priors derived from a database [38].”
- 3D Object Reconstruction from a Single Depth View with Adversarial Learning (2017, unknown): “[35] uses plane fitting to complete small missing regions, while [32] [34] [40] [48] [52] [56] applies shape symmetry to fill in holes.”
- 3D Object Dense Reconstruction from a Single Depth View (2018, methodology): “[25] uses plane fitting to complete small missing regions, while [26] [27] [28] [29] [30] apply shape symmetry to fill in holes.”