WAAutomation's Stars
Pointcept/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
HuaiyuanXu/3D-Occupancy-Perception
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
astra-vision/PaSCo
[CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
songw-zju/Scribble2Scene
The official implementation of "Label-efficient Semantic Scene Completion with Scribble Annotations" (IJCAI 2024)
PRBonn/TARL
[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
valeoai/SLidR
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
wzzheng/PointOcc
Efficient Point-based 3D Semantic Occupancy Prediction
tarashakhurana/4d-occ-forecasting
CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'
ai4ce/Occ4cast
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
ai4ce/SSCBench
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
SCPNet/Codes-for-SCPNet
SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)
CVRP-SOLE/SOLE
Official code of "Segment any 3D Object with Language"
Pointcept/GPT4Point
[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.
OpenDriveLab/OpenScene
3D Occupancy Prediction Benchmark in Autonomous Driving
jialeli1/lidarseg3d
A repository for LiDAR 3D semantic segmentation in autonomous driving scenarios. Also the official implementations of our ECCV 2022 paper (SDSeg3D) and CVPR 2023 paper (MSeg3D).
xiaoaoran/SemanticSTF
(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"
OpenDriveLab/OccNet
[ICCV 2023] OccNet: Scene as Occupancy
valeoai/BEVContrast
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
Tsinghua-MARS-Lab/Occ3D
CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction
CVPR2023-Occupancy-Prediction-Challenge
weiyithu/SurroundOcc
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
FANG-MING/occupancy-for-nuscenes
3D occupancy
wzzheng/TPVFormer
[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.
wzzheng/OccWorld
[ECCV 2024] 3D World Model for Autonomous Driving
zhangyp15/OccFormer
[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
JeffWang987/OpenOccupancy
[ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
L-Reichardt/Cylinder3D-updated-CUDA
50%+ Faster Cylinder3D, compatible with current PyTorch, CUDA, and Spconv versions
zhulf0804/3D-PointCloud
Papers and Datasets about Point Cloud.
ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
edwardzhou130/PolarSeg
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)