A paper list of 3D Point Cloud Denoising using Deep Learning
Updated: 20-11-10
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[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]
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[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
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[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]
- [2020.10] Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance |
[pdf]- Dynamic Point, not static Point
- [2021.07] [Score-Based Point Cloud Denoising] | [ICCV' 21] |
[pdf][official code]