drprojects / superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
☆752Updated 2 weeks ago
Alternatives and similar repositories for superpoint_transformer:
Users that are interested in superpoint_transformer are comparing it to the libraries listed below
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆425Updated 5 months ago
- Pytorch framework for doing deep learning on point clouds.☆233Updated 3 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆606Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆859Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆379Updated last year
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆735Updated last year
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,058Updated this week
- Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'…☆1,972Updated this week
- Kernel Point Convolution implemented in PyTorch☆819Updated 3 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆390Updated 2 years ago
- Collect and summarize point cloud sota methods.☆163Updated 3 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆338Updated 7 months ago
- This is an unofficial implementation of the Point Transformer paper.☆555Updated 2 years ago
- Kernel Point Convolutions☆739Updated 4 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆674Updated 6 months ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆586Updated last week
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆784Updated last week
- PyTorch implementation of RandLA-Net☆366Updated 3 years ago
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆374Updated last year
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆522Updated 2 years ago
- [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes☆1,103Updated 11 months ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,381Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆522Updated 2 months ago
- Point Transformers☆674Updated last year
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆208Updated last year
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆532Updated last month
- [CVPR 2023, BSP] 3D Registration with Maximal Cliques☆492Updated 4 months ago
- A lightweight tool for labeling 3D bounding boxes in point clouds.☆656Updated 7 months ago
- [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models☆608Updated last year
- 🔥GrowSP in PyTorch (CVPR 2023)☆175Updated last year