[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
☆616Mar 31, 2025Updated 11 months ago
Alternatives and similar repositories for Point-MAE
Users that are interested in Point-MAE are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆223May 4, 2023Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆670Mar 22, 2025Updated 11 months ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆225Aug 10, 2023Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆242Jul 1, 2024Updated last year
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Aug 28, 2022Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆588Feb 2, 2025Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆153Jul 21, 2024Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Jul 1, 2024Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆430Jun 4, 2023Updated 2 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,002Dec 1, 2023Updated 2 years ago
- A point cloud visualization repo☆95Oct 15, 2025Updated 4 months ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆263Apr 27, 2023Updated 2 years ago
- Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occu…☆280Dec 19, 2023Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Jul 22, 2025Updated 7 months ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆140Dec 12, 2024Updated last year
- ☆585Jan 21, 2026Updated last month
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Jul 26, 2023Updated 2 years ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆37Dec 26, 2023Updated 2 years ago
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆93Mar 9, 2023Updated 2 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS…☆2,859Updated this week
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆153Sep 20, 2025Updated 5 months ago
- [NeurIPS 2024 Spotlight (Top 2.5%🏆)] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆51Sep 1, 2025Updated 6 months ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆240Jun 24, 2024Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆431Jan 7, 2023Updated 3 years ago
- [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds☆100Jan 26, 2026Updated last month
- [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis