Julie-tang00 / Point-BERTLinks
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
☆646Updated 7 months ago
Alternatives and similar repositories for Point-BERT
Users that are interested in Point-BERT are comparing it to the libraries listed below
Sorting:
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆584Updated 6 months ago
- This is an unofficial implementation of the Point Transformer paper.☆606Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆417Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆768Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆948Updated last year
- Point Transformers☆709Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆392Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆568Updated 8 months ago
- Pytorch implementation of PCT: Point Cloud Transformer☆391Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆423Updated 2 years ago
- Implementation of the Point Transformer layer, in Pytorch☆600Updated 3 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆293Updated 2 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆348Updated 4 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆437Updated last year
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆530Updated last year
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆210Updated 2 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆259Updated 2 years ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆194Updated 2 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆671Updated last year
- Kernel Point Convolution implemented in PyTorch☆859Updated last week
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆488Updated 3 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆230Updated last year
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆427Updated last year
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆332Updated 4 months ago
- Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"☆238Updated 3 years ago
- Code & Models for 3DETR - an End-to-end transformer model for 3D object detection☆681Updated 2 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆540Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆784Updated 2 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆111Updated 7 months ago
- Pytorch framework for doing deep learning on point clouds.☆255Updated 3 years ago