Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Surface Normals Estimation On Pcpnet

Metrics

RMSE

Results

Performance results of various models on this benchmark

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

0 of 8 row(s) selected.

Surface Normals Estimation On Pcpnet | SOTA | HyperAI