| 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 |
| 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 |
| ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding | Dec 10, 2022 | 3D Architecture3D Classification | CodeCode Available | 2 |
| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling | Oct 11, 2022 | 3D Point Cloud Classification3D Semantic Segmentation | CodeCode Available | 2 |
| Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis | Oct 9, 2022 | 3D Point Cloud ClassificationKnowledge Distillation | CodeCode Available | 2 |
| Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training | May 28, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 |
| Surface Representation for Point Clouds | May 11, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 |
| Masked Autoencoders for Point Cloud Self-supervised Learning | Mar 13, 2022 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 2 |
| 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 |
| Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions | Jan 28, 2022 | 3D Point Cloud Classification3D Point Cloud Data Augmentation | CodeCode Available | 2 |
