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3d-point-cloud-get-started

This summary includes traditional algorithms and deep learning methods, which refers to paper with code, shenlanxueyuan, and My blog (in Chinese).

bev-perception

Bird's Eye View Perception

classification-and-data-processing

cluster3dseg

This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).

codes-for-pvkd

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

create-a-data-set-in-vid-format

Create a data set in VID format

deecamp2020-point-cloud-multi-object-tracking

This is my implementation of the LIDAR target detection track of DEECAMP 2020. The tracking process occurs after the object detection.

fengzicai

genetic-algorithm

hieraseg

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

interpretable3d

This is the official implementation of "Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds" (Accepted at AAAI 2024).

lsk3dnet

This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).

mapping

ROS slam RPlidar

protoseg

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

re-track

This is the implementation of "A Novel Object Re-Track Framework for 3D Point Clouds", which is accepted by ACM-MM 2020.

shape-measure

PyTorch version of shape evaluation metrics