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Surface Normals Estimation On Pcpnet

Métriques

RMSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
RMSE
Paper TitleRepository
Nesti-Net12.41Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
Hsurf10.11HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
AdaFit10.76AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
MSECNet9.76MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
GraphFit10.26GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
DeepFit11.8DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
NeAF10.22NeAF: Learning Neural Angle Fields for Point Normal Estimation
Iter-Net11.84Deep Iterative Surface Normal Estimation
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Surface Normals Estimation On Pcpnet | SOTA | HyperAI