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Geohi-Gnn: Geometry-Aware Hierarchical Graph Representation Learning for Normal Estimation

https://doi.org/10.2139/ssrn.4676310
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inferredcites →https://doi.org/10.1007/978-3-030-01225-0_4openalex-extracted
Local Spectral Graph Convolution for Point Set Feature Learning
inferredcites →https://doi.org/10.1007/978-3-030-58309-5_9openalex-extracted
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds
inferredcites →https://doi.org/10.1016/j.cad.2020.102916openalex-extracted
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection
inferredcites →https://doi.org/10.1016/j.cag.2020.06.001openalex-extracted
Attention-based relation and context modeling for point cloud semantic segmentation
inferredcites →https://doi.org/10.1016/j.cagd.2004.09.004openalex-extracted
Estimating differential quantities using polynomial fitting of osculating jets
inferredcites →https://doi.org/10.1016/j.comgeo.2005.10.006openalex-extracted
Provable surface reconstruction from noisy samples
inferredcites →https://doi.org/10.1016/j.neucom.2020.12.067openalex-extracted
Geometric attentional dynamic graph convolutional neural networks for point cloud analysis
inferredcites →https://doi.org/10.1080/03610927708827533openalex-extracted
Robust regression using iteratively reweighted least-squares
inferredcites →https://doi.org/10.1109/cvpr.2017.11openalex-extracted
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00762openalex-extracted
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
inferredcites →https://doi.org/10.1109/cvpr.2019.01035openalex-extracted
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00641openalex-extracted
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01126openalex-extracted
Deep Iterative Surface Normal Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01325openalex-extracted
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-extracted
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00534openalex-extracted
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
inferredcites →https://doi.org/10.1109/iccv.2019.00936openalex-extracted
DeepGCNs: Can GCNs Go As Deep As CNNs?
inferredcites →https://doi.org/10.1109/iccv48922.2021.00606openalex-extracted
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
inferredcites →https://doi.org/10.1109/icmew46912.2020.9105972openalex-extracted
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-extracted
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/robot.2009.5152493openalex-extracted
Comparison of surface normal estimation methods for range sensing applications
inferredcites →https://doi.org/10.1109/tie.2021.3053904openalex-extracted
Latent Tangent Space Representation for Normal Estimation
inferredcites →https://doi.org/10.1109/tvcg.2010.261openalex-extracted
Voronoi-Based Curvature and Feature Estimation from Point Clouds
inferredcites →https://doi.org/10.1111/cgf.12983openalex-extracted
Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
inferredcites →https://doi.org/10.1111/cgf.13343openalex-extracted
PCPN et Learning Local Shape Properties from Raw Point Clouds
inferredcites →https://doi.org/10.1145/133994.134011openalex-extracted
Surface reconstruction from unorganized points
inferredcites →https://doi.org/10.1145/3326362openalex-extracted
Dynamic Graph CNN for Learning on Point Clouds
inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-extracted
Adaptive Mixtures of Local Experts
inferredcites →https://doi.org/10.1177/1729881419831846openalex-extracted
Fast geometry-based computation of grasping points on three-dimensional point clouds
inferredcites →https://doi.org/10.1177/1729881419857532openalex-extracted
NormNet: Point-wise normal estimation network for three-dimensional point cloud data
inferredcites →https://doi.org/10.1609/aaai.v37i1.25224openalex-extracted
NeAF: Learning Neural Angle Fields for Point Normal Estimation
inferredcites →https://doi.org/10.48550/arxiv.1505.00880openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1607.01097openalex-extracted
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1706.02413openalex-extracted
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
inferredcites →https://doi.org/10.48550/arxiv.1803.05827openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1904.10014openalex-extracted
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
inferredcites →https://doi.org/10.48550/arxiv.1909.03669openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1910.08537openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2002.10876openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2108.05836openalex-extracted
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
inferredcites →https://doi.org/10.2312/sgp/sgp06/061-070openalex-snapshot
Poisson Surface Reconstruction
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