| Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework | Feb 15, 2022 | 3D Point Cloud ClassificationPoint Cloud Segmentation | CodeCode Available | 2 | 5 |
| DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion | Nov 19, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| diffConv: Analyzing Irregular Point Clouds with an Irregular View | Nov 29, 2021 | 3D Object Classification3D 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 |
| Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling | May 20, 2022 | 3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation | Aug 6, 2023 | 3D Classification3D Part Segmentation | CodeCode Available | 1 | 5 |
| Dense-Resolution Network for Point Cloud Classification and Segmentation | May 14, 2020 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds | Nov 16, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training | Oct 3, 2022 | 3D Point Cloud ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| Decoupled Local Aggregation for Point Cloud Learning | Aug 31, 2023 | 3D Point Cloud ClassificationSemantic Segmentation | CodeCode Available | 1 | 5 |
