chaytonmin / Occupancy-MAE
Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
☆262Updated last year
Alternatives and similar repositories for Occupancy-MAE:
Users that are interested in Occupancy-MAE are comparing it to the libraries listed below
- Voxel Transformer for 3D object detection☆248Updated 2 years ago
- GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)☆122Updated last year
- Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)☆194Updated last year
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆215Updated 3 years ago
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆77Updated last year
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆93Updated last year
- Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"☆188Updated 8 months ago
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆170Updated last year
- Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)☆229Updated 2 years ago
- [CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"☆395Updated 4 months ago
- CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'☆219Updated 9 months ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆115Updated last year
- Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)☆159Updated 2 years ago
- Repository of 3D Object Detection with Pointformer (CVPR2021)☆156Updated last year
- Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection☆245Updated last year
- (CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training…☆299Updated 6 months ago
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆68Updated last year
- DeepVision3D is an open source toolbox for point-cloud understanding.☆120Updated 2 years ago
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆160Updated last year
- Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer☆124Updated 2 years ago
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆89Updated 2 years ago
- The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).☆320Updated last year
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆107Updated last year
- Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers☆95Updated 5 months ago
- A toolkit for Waymo Open Dataset <-> KITTI conversions☆156Updated 10 months ago
- [ICCV 2023] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection☆205Updated 5 months ago
- Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)☆296Updated 2 years ago
- Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)☆389Updated 2 years ago
- [NeurIPS 2022] DeepInteraction: 3D Object Detection via Modality Interaction☆228Updated 5 months ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆172Updated 3 years ago