WAAutomation

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)

  Language:Python1.4k156

• HuaiyuanXu/3D-Occupancy-Perception

  A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

  16511

• astra-vision/PaSCo

  [CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"

  Language:Python14814

• songw-zju/Scribble2Scene

  The official implementation of "Label-efficient Semantic Scene Completion with Scribble Annotations" (IJCAI 2024)

  Language:Python101

• PRBonn/TARL

  [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving

  Language:Python1009

• valeoai/SLidR

  Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

  Language:Python17526

• wzzheng/PointOcc

  Efficient Point-based 3D Semantic Occupancy Prediction

  Language:Python1218

• tarashakhurana/4d-occ-forecasting

  CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'

  Language:Python20822

• ai4ce/Occ4cast

  Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

  Language:Python1098

• ai4ce/SSCBench

  SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

  Language:Python16011

• SCPNet/Codes-for-SCPNet

  SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)

  Language:Python989

• CVRP-SOLE/SOLE

  Official code of "Segment any 3D Object with Language"

  Language:Python34

• Pointcept/GPT4Point

  [CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

  Language:Python30219

• OpenDriveLab/OpenScene

  3D Occupancy Prediction Benchmark in Autonomous Driving

  Language:Python28920

• 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).

  Language:Python1229

• xiaoaoran/SemanticSTF

  (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

  Language:Python9412

• OpenDriveLab/OccNet

  [ICCV 2023] OccNet: Scene as Occupancy

  Language:Python54749

• valeoai/BEVContrast

  BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation

  Language:Python675

• Tsinghua-MARS-Lab/Occ3D

  Language:Python38324

• CVPR2023-3D-Occupancy-Prediction/CVPR2023-3D-Occupancy-Prediction

  CVPR2023-Occupancy-Prediction-Challenge

  Language:Python76956

• weiyithu/SurroundOcc

  [ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

  Language:Python77095

• FANG-MING/occupancy-for-nuscenes

  3D occupancy

  Language:Python34621

• wzzheng/TPVFormer

  [CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

  Language:Python1.1k104

• wzzheng/OccWorld

  [ECCV 2024] 3D World Model for Autonomous Driving

  Language:Python32420

• zhangyp15/OccFormer

  [ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

  Language:Python31223

• JeffWang987/OpenOccupancy

  [ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

  Language:Python56750

• L-Reichardt/Cylinder3D-updated-CUDA

  50%+ Faster Cylinder3D, compatible with current PyTorch, CUDA, and Spconv versions

  Language:Python457

• zhulf0804/3D-PointCloud

  Papers and Datasets about Point Cloud.

  Language:Python2.3k295

• ldkong1205/RoboDepth

  [NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

  Language:Python25932

• edwardzhou130/PolarSeg

  Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

  Language:Python36980