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

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Official PyTorch Implementation of Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion (IJCAI 2024)

simple visualization scripts for Kitti and Semantic Kitti dataset

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

Official PyTorch Implementation of HTCL (ECCV 2024): Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion

[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

三维点云数据集下载sh脚本（目标检测，语义分割, ...）

Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility

Convert a rosbag to the SemanticKitti Dataset architecture (LiDAR part).

Cylinder3D with CodedVTR Attention Blocks

Convert Pandaset to Kitti/SemanticKitti format

This repo includes work on lidar point cloud semantic segmentation using self-collected Carla simulator dataset and Semantic KITTI real-world dataset.

3D LiDAR Semantic Segmentation with range images and Retentive Networks

My awesome point cloud labeling tool

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.