| ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | Feb 27, 2024 | 3D geometry3D Object Captioning | CodeCode Available | 3 | 5 |
| PointCNN: Convolution On X-Transformed Points | Jan 23, 2018 | 3D Instance Segmentation3D Part Segmentation | CodeCode Available | 3 | 5 |
| Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning | Oct 10, 2024 | 3D Parameter-Efficient Fine-Tuning for Classification3D Point Cloud Classification | CodeCode Available | 3 | 5 |
| FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapes | May 7, 2024 | 3D Point Cloud Classification3D Semantic Segmentation | CodeCode Available | 3 | 5 |
| PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies | Jun 9, 2022 | 3D Classification3D Part Segmentation | CodeCode Available | 3 | 5 |
| Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions | Jan 28, 2022 | 3D Point Cloud Classification3D Point Cloud Data Augmentation | CodeCode Available | 2 | 5 |
| ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding | Dec 10, 2022 | 3D Architecture3D Classification | CodeCode Available | 2 | 5 |
| Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training | May 28, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 | 5 |
| PointGPT: Auto-regressively Generative Pre-training from Point Clouds | May 19, 2023 | 3D Point Cloud ClassificationDecoder | CodeCode Available | 2 | 5 |
| Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis | Mar 14, 2023 | 3D Point Cloud ClassificationAll | CodeCode Available | 2 | 5 |
| Surface Representation for Point Clouds | May 11, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 | 5 |
| ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding | May 14, 2023 | 3D Classification3D Point Cloud Classification | CodeCode Available | 2 | 5 |
| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling | Oct 11, 2022 | 3D Point Cloud Classification3D Semantic Segmentation | CodeCode Available | 2 | 5 |
| Masked Autoencoders for Point Cloud Self-supervised Learning | Mar 13, 2022 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 2 | 5 |
| KPConvX: Modernizing Kernel Point Convolution with Kernel Attention | May 21, 2024 | 3D Point Cloud ClassificationSemantic Segmentation | CodeCode Available | 2 | 5 |
| DeepGCNs: Making GCNs Go as Deep as CNNs | Oct 15, 2019 | 3D Point Cloud Classification3D Semantic Segmentation | CodeCode Available | 2 | 5 |
| Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis | Oct 9, 2022 | 3D Point Cloud ClassificationKnowledge Distillation | CodeCode Available | 2 | 5 |
| Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model | Apr 23, 2024 | 3D Point Cloud ClassificationMamba | CodeCode Available | 2 | 5 |
| Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders | Dec 13, 2022 | 3D Point Cloud Classification3D Point Cloud Linear Classification | CodeCode Available | 2 | 5 |
| PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders | Aug 16, 2024 | 3D Object Classification3D Point Cloud Classification | CodeCode Available | 2 | 5 |
| 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 |
| 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 |
| Decoupled Local Aggregation for Point Cloud Learning | Aug 31, 2023 | 3D Point Cloud ClassificationSemantic Segmentation | 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 |
| ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers | Jun 19, 2023 | 3D Point Cloud ClassificationExplainable artificial intelligence | CodeCode Available | 1 | 5 |
