Stars
Joint intrinsic and extrinsic LiDAR-camera calibration.
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Effortless data labeling with AI support from Segment Anything and other awesome models.
[ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
This repository provides code for the augmentation descripted in the IROS paper Text3DAug – Prompted Instance Augmentation for LiDAR Perception
[ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".
🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
Multi-Space Alignments Towards Universal LiDAR Segmentation
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
Simulator-conditioned Driving Scene Generation
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
[IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[IROS 23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
(3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
[ECCV 2024] 3D World Model for Autonomous Driving
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
Efficient Point-based 3D Semantic Occupancy Prediction
[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
[NeurIPS'24 Spotlight] Is Your LiDAR Placement Optimized for 3D Scene Understanding?