List of Paper and corresponding Code
- Learning Robust Graph-Convolutional Representations for Point Cloud Denoising.[JSTSP 2020] | [Code]
- Score-Based Point Cloud Denoising.[ICCV 2021] | [Code]
- Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance.[IEEE TIP 2021] | [
No Code
] - Differentiable Manifold Reconstruction for Point Cloud Denoising.[ACM MM 2020] | [Code]
- Point Cloud Denoising via Momentum Ascent in Gradient Fields.[ArXiv 2022] | [
No Code
] - Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement.[ArXiv 2021] | [
No Code
] - 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model.[IEEE TIP 2019] | [
No Code
] - PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds.[CGF 2020] | [Code]
- Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning.[ICCV 2019] | [Code]
- the first unsupervised deep learning method for point cloud denoising
- 3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation.[ICASSP 2019] | [Code]
- 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.[ECCV 2022] | [Code will be released around the ECCV conference.]
- (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network.[CVPR 2021] | [
No Code
] - Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.[CVPR 2021 Oral] | [Code]
- Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.[ECCV 2020] | [Code]
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion.[AAAI 2021] | [Code]
- KPRNet: Improving projection-based LiDAR semantic segmentation.[ArXiv 2020] | [Code]
- SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving.[ISVC 2020] | [Code]
- SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.[ECCV 2020] | [Code]
- RangeNet++: Fast and Accurate LiDAR Semantic Segmentation.[IROS 2019] | [Code]