kitti-360

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

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

[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"

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

ROS package to publish the KITTI-360 dataset.

Visualize KITTI360 sequences on ROS with full tf support.

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

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.

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

Python implementation of LDGCNN with attention layers