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GitHub topics: kitti-360

drprojects/DeepViewAgg

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

Language: Python - Size: 302 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 230 - Forks: 25

astra-vision/MonoScene

[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

Language: Python - Size: 127 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 732 - Forks: 70

MoscowskyAnton/scene_recognition_kitti_360

Modification of KITTI-360 dataset for Scene Recognition (Data Assosiation) tasks.

Language: Python - Size: 1.64 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Owen-Liuyuxuan/kitti360_visualize

Visualize KITTI360 sequences on ROS with full tf support.

Language: Python - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 1

dcmlr/kitti360_ros_player

ROS package to publish the KITTI-360 dataset.

Language: Python - Size: 2.84 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 50 - Forks: 7

ruili3/Know-Your-Neighbors

[CVPR 2024] 🏡Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning

Language: Python - Size: 6.64 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 56 - Forks: 8

naitri/PointPainting

A pytorch implementation of Semantic Segmentation for both LIDAR & Camera using SegFormer & PointPainting paper Pytorch

Language: Python - Size: 8.84 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

Brummi/BehindTheScenes

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

Language: Python - Size: 5.08 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 199 - Forks: 14

erik-dali/LIDAR-Semantic-Segmentation

Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.

Language: Jupyter Notebook - Size: 130 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

Related Keywords
kitti-360 9 kitti-dataset 3 pytorch 3 semantic-segmentation 3 cvpr 2 cvpr2022 2 deep-learning 2 self-supervised-learning 2 dataset 2 lidar 2 point-cloud 2 computer-vision 2 nerf 2 3d-reconstruction 2 semantics 1 cvpr2024 1 ros2 1 ros 1 robotics 1 autonomous-driving 1 visual-localization-dataset 1 vision-language-model 1 mmsegmentation 1 pointpainting 1 cvpr2023 1 depth-estimation 1 depth-prediction 1 kitti 1 self-supervised 1 lidar-point-cloud 1 pointnet2 1 pointnet2-pytorch 1 attention 1 image 1 multi-view 1 multimodal 1 multimodal-deep-learning 1 point-cloud-segmentation 1 pytorch-geometric 1 s3dis 1 torch-points3d 1 2d-to-3d 1 cvpr22 1 mayavi 1 monocular 1 nyu-depth-v2 1 occupancy-prediction 1 semantic-kitti 1 semantic-scene-completion 1 semantic-scene-understanding 1 single-image-reconstruction 1 clip 1 data-association 1 scene-recognition 1 visual-localization 1