| ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification | Jan 16, 2024 | 3D Point Cloud ClassificationPoint 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 |
| Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? | Dec 16, 2022 | 3D Point Cloud ClassificationFew-Shot 3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Attention-based Point Cloud Edge Sampling | Feb 28, 2023 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models | Jun 8, 2021 | 3D Point Cloud ClassificationPoint Cloud Classification | CodeCode Available | 1 | 5 |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning | Jan 3, 2022 | 3D geometry3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models | Apr 14, 2023 | 3D Parameter-Efficient Fine-Tuning for Classification3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Decoupled Local Aggregation for Point Cloud Learning | Aug 31, 2023 | 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 |
| APSNet: Attention Based Point Cloud Sampling | Oct 11, 2022 | 3D Point Cloud ClassificationKnowledge Distillation | CodeCode Available | 1 | 5 |
