| Paper | Code | RMSE | ModelName | ReleaseDate |
|---|---|---|---|---|
| MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning | ✓ Link | 9.76 | MSECNet | 2023-08-04 |
| HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces | ✓ Link | 10.11 | Hsurf | 2022-10-13 |
| NeAF: Learning Neural Angle Fields for Point Normal Estimation | ✓ Link | 10.22 | NeAF | 2022-11-30 |
| GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation | ✓ Link | 10.26 | GraphFit | 2022-07-23 |
| AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds | ✓ Link | 10.76 | AdaFit | 2021-08-12 |
| DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares | ✓ Link | 11.8 | DeepFit | 2020-03-23 |
| Deep Iterative Surface Normal Estimation | ✓ Link | 11.84 | Iter-Net | 2019-04-15 |
| Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks | ✓ Link | 12.41 | Nesti-Net | 2018-12-03 |