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"
☆927Updated last month
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☆572Updated last year
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆697Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆262Updated 4 years ago
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆891Updated 2 years ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,624Updated 2 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆983Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆430Updated 2 years ago
- Collect and summarize point cloud sota methods.☆225Updated 4 months ago
- [CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations☆652Updated 7 months ago
- Kernel Point Convolution implemented in PyTorch☆873Updated 2 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆403Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆848Updated 6 months ago
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆153Updated last year
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆803Updated 3 weeks ago
- This is an unofficial implementation of the Point Transformer paper.☆624Updated 3 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), So…☆2,756Updated last week
- 🔥GrowSP in PyTorch (CVPR 2023)☆194Updated 4 months ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆666Updated 9 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Updated 3 years ago
- PyTorch implementation of RandLA-Net☆406Updated 4 years ago
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆564Updated 3 years ago
- A lightweight tool for labeling 3D bounding boxes in point clouds.☆762Updated 2 months ago
- 🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)☆274Updated 2 weeks ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆537Updated last year
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,501Updated 2 years ago
- Kernel Point Convolutions☆776Updated 4 years ago
- [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models☆640Updated 2 years ago
- [ICLR 2025] Point-SAM: Promptable 3D Segmentation Model for Point Clouds☆387Updated 3 months ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆444Updated last year
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆590Updated 10 months ago