georghess / voxel-maeLinks
Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"
☆87Updated 2 years ago
Alternatives and similar repositories for voxel-mae
Users that are interested in voxel-mae are comparing it to the libraries listed below
Sorting:
- Bridging lidar and text through image intermediaries☆100Updated last year
- GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)☆126Updated 2 years ago
- This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3…☆58Updated 3 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆75Updated 2 years ago
- Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"☆208Updated 8 months ago
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆73Updated 2 years ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆131Updated 2 years ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆112Updated last year
- [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios☆74Updated 10 months ago
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆98Updated 2 years ago
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆85Updated last year
- ☆31Updated 7 months ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- [ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling☆48Updated 2 years ago
- Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occu…☆277Updated last year
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆75Updated 2 years ago
- Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"☆112Updated 10 months ago
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆177Updated 2 years ago
- ☆99Updated 2 years ago
- Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"☆49Updated 3 years ago
- PyTorch code and models for ScaLR image-to-lidar distillation method☆56Updated 4 months ago
- BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation☆80Updated last year
- Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)☆78Updated 2 years ago
- [CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training☆47Updated 2 years ago
- The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023 & TP…☆64Updated 2 years ago
- ☆82Updated 2 years ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆60Updated 2 years ago
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆58Updated last year
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation☆34Updated 2 years ago
- ☆41Updated 2 years ago