guochengqian / PointNeXtLinks
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
☆918Updated last year
Alternatives and similar repositories for PointNeXt
Users that are interested in PointNeXt are comparing it to the libraries listed below
Sorting:
- Point Transformers☆701Updated last year
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆732Updated 10 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆376Updated last year
- This is an unofficial implementation of the Point Transformer paper.☆591Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆401Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆618Updated 4 months ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆555Updated 6 months ago
- Kernel Point Convolution implemented in PyTorch☆845Updated 7 months ago
- Pytorch implementation of PCT: Point Cloud Transformer☆383Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆408Updated 2 years ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,302Updated 3 weeks ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆772Updated 2 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆500Updated 9 months ago
- Pytorch framework for doing deep learning on point clouds.☆249Updated 3 years ago
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆393Updated last year
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆561Updated 4 months ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆426Updated last year
- PyTorch implementation of Pointnet2/Pointnet++☆1,677Updated 4 months ago
- Implementation of the Point Transformer layer, in Pytorch☆597Updated 3 years ago
- Kernel Point Convolutions☆757Updated 4 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆475Updated 2 years ago
- PyTorch implementation of RandLA-Net☆395Updated 3 years ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆525Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆828Updated last month
- Official source code of Fast Point Transformer, CVPR 2022☆290Updated 2 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆644Updated last year
- Collect and summarize point cloud sota methods.☆198Updated 7 months ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight…☆2,342Updated last month
- Implementation of PCN(Point Completion Network) in PyTorch.☆184Updated 2 years ago
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆834Updated last year