| Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation | Aug 6, 2023 | 3D Classification3D Part Segmentation | CodeCode Available | 1 | 5 |
| PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling | Mar 1, 2020 | 3D Point Cloud ClassificationSemantic Segmentation | CodeCode Available | 1 | 5 |
| 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis | Dec 9, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| KPConv: Flexible and Deformable Convolution for Point Clouds | Apr 18, 2019 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| APSNet: Attention Based Point Cloud Sampling | Oct 11, 2022 | 3D Point Cloud ClassificationKnowledge Distillation | CodeCode Available | 1 | 5 |
| Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining | Feb 5, 2023 | 3D Point Cloud Classification3D Point Cloud Linear Classification | CodeCode Available | 1 | 5 |
| P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting | Aug 4, 2022 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Learning to Sample | Dec 4, 2018 | 3D Point Cloud Classification3D Point Cloud Reconstruction | CodeCode Available | 1 | 5 |
| FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling | Dec 17, 2020 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds | Mar 26, 2021 | 3D Point Cloud ClassificationPoint Cloud Classification | CodeCode Available | 1 | 5 |
