[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

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

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.

[ECCV 2024]Official PyTorch Implementation of HTCL : 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

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

三维点云数据集下载sh脚本（目标检测，语义分割, ...）

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

Convert Pandaset to Kitti/SemanticKitti format

Cylinder3D with CodedVTR Attention Blocks

一个功能完整的 SemanticKITTI 数据集处理工具包，支持点云可视化、语义分割评估和多种数据格式转换。

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

My awesome point cloud labeling tool

Extra utility codes and custom annotation pipeline used to run baselines smoothly on semantic kitty and JRDB dataset for temporal-point-transformer

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