| 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 |
| diffConv: Analyzing Irregular Point Clouds with an Irregular View | Nov 29, 2021 | 3D Object Classification3D Point Cloud Classification | CodeCode Available | 1 |
| 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 |
| 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 |
| Attention-based Point Cloud Edge Sampling | Feb 28, 2023 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion | Nov 19, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models | Jun 8, 2021 | 3D Point Cloud ClassificationPoint Cloud Classification | CodeCode Available | 1 |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning | Jan 3, 2022 | 3D geometry3D Point Cloud Classification | CodeCode Available | 1 |
| KPConv: Flexible and Deformable Convolution for Point Clouds | Apr 18, 2019 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| Decoupled Local Aggregation for Point Cloud Learning | Aug 31, 2023 | 3D Point Cloud ClassificationSemantic Segmentation | CodeCode Available | 1 |
