drprojects / superpoint_transformerLinks
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"
☆868Updated 3 weeks ago
Alternatives and similar repositories for superpoint_transformer
Users that are interested in superpoint_transformer are comparing it to the libraries listed below
Sorting:
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆530Updated 11 months ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆665Updated last year
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆846Updated last year
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,411Updated 2 months ago
- Pytorch framework for doing deep learning on point clouds.☆255Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆412Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆386Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆942Updated last year
- Collect and summarize point cloud sota methods.☆207Updated 3 weeks ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight…☆2,489Updated 3 weeks ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆834Updated 3 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆417Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆758Updated last year
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆143Updated 10 months ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆190Updated last month
- This is an unofficial implementation of the Point Transformer paper.☆604Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆856Updated 9 months ago
- [CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations☆526Updated 4 months ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆530Updated last year
- [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes☆1,207Updated last year
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆546Updated 3 years ago
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆574Updated 7 months ago
- [CVPR 2023, BSP] 3D Registration with Maximal Cliques☆518Updated 11 months ago
- A curated list of point cloud registration.☆902Updated last year
- PyTorch implementation of RandLA-Net☆398Updated 4 years ago
- Kernel Point Convolutions☆766Updated 4 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆636Updated 6 months ago
- 🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)☆271Updated 2 years ago
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆426Updated last year
- [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models☆632Updated last year