zya3d

zya3d's Stars

• CocoBoom/fsd-bev

  This is the implementation of the paper "FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection" (ECCV 2024)

  231

• Pointcept/GPT4Point

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

  Language:Python30419

• afterglow-nju/MoPL

  the github page for Test-Time Adaptation in 3D Object Detection Using Momentum-Based Pseudo-Labeling

  2

• hailanyi/CPD

  Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)

  Language:Python443

• HuaiyuanXu/3D-Occupancy-Perception

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

  16911

• MCG-NJU/SparseOcc

  [ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric

  Language:Python20916

• Yzichen/FlashOCC

  Language:Python23127

• NotACracker/COTR

  [CVPR24] COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction

  Language:Python474

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.2k1.5k

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.6k1.3k

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  5.5k318

• lvchuandong/Awesome-Multi-Camera-3D-Occupancy-Prediction

  Awesome papers and code about Multi-Camera 3D Occupancy Prediction, such as TPVFormer, SurroundOcc, PanoOcc, OccFormer, FB-OCC, SelfOcc, COTR, SparseOcc. In this repository, you will see the latest 3D occupancy prediction papers and code.

  897

• lvchuandong/ML3DOP

  ML3DOP: A Multi-Camera and LiDAR Dataset for 3D Occupancy Perception

  Language:Python24

• Bosszhe/EMIFF

  EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

  Language:Python648

• zya3d/Awesome-3D-Occupancy-Prediction

  Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

  1396

• ika-rwth-aachen/MultiCorrupt

  MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.

  Language:Python405