3d-pointcloud-denoising's Introduction

3D Point Cloud Denoising

A paper list of 3D Point Cloud Denoising using Deep Learning

Updated: 20-11-10

2018

[2018.04] Fast 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation | [IEEE' 18] [pdf]
[2018.07] Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes | [pdf]
[2018.12] 3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian | [pdf]

[2019.04] [NPD] The Neural Projection Denoising project, 3D POINT CLOUD DENOISING VIA DEEP NEURAL NETWORK BASED LOCAL SURFACEESTIMATION | [pdf] [official code]
[2019.04] 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model | [pdf]
[2019.06] [PointCleanNet] Learning to Denoise and Remove Outliers from Dense Point Clouds |[pdf] [official code]
[2019.09] [DSS] Differentiable Surface Splatting for Point-based Geometry Processing |[pdf] [official code]
[2019.10] [Total Denoising] Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning | [ICCV' 19] |[pdf] [code]
- the first unsupervised deep learning method for point cloud denoising

[2020.01] Feature Graph Learning for 3D Point Cloud Denoising | [pdf]
[2020.03] Non-Local Part-Aware Point Cloud Denoising |[pdf]
[2020.04] [Deep Manifold Prior] | [pdf]
[2020.07] [GPDNet] Learning Graph-Convolutional Representations for Point Cloud Denoising | [ECCV' 20]|[pdf] [official code]
[2020.08] [Differentiable Manifold Reconstruction for Point Cloud Denoising] | [ACM MM' 2020]|[pdf] [official code]