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SOTA
Surface Normals Estimation
Surface Normals Estimation On Pcpnet
Surface Normals Estimation On Pcpnet
Metriken
RMSE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
RMSE
Paper Title
Repository
Nesti-Net
12.41
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
Hsurf
10.11
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
AdaFit
10.76
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
MSECNet
9.76
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
GraphFit
10.26
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
DeepFit
11.8
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
NeAF
10.22
NeAF: Learning Neural Angle Fields for Point Normal Estimation
Iter-Net
11.84
Deep Iterative Surface Normal Estimation
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