| 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 |
| 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 |
| Masked Autoencoders for Point Cloud Self-supervised Learning | Mar 13, 2022 | 3D Part Segmentation3D 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 |
| KPConvX: Modernizing Kernel Point Convolution with Kernel Attention | May 21, 2024 | 3D Point Cloud ClassificationSemantic Segmentation | 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 |
| 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 |
| PointGPT: Auto-regressively Generative Pre-training from Point Clouds | May 19, 2023 | 3D Point Cloud ClassificationDecoder | 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 |
