fanxin0722

kiss-icp

A LiDAR odometry pipeline that just works

Lidar-Segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

map_compression

Implementation of: 3D LiDAR Map Compression for Efficient Localization on Resource Constrained Vehicles

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

SparsePCGC

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

mpeg-pcc-tmc2

Video codec based point cloud compression (V-PCC) test model

models

NDIC-CAM

Neural Distributed Image Compression using Cross-Attention Feature Alignment (NDIC-CAM) [WACV 2023]

Point-Cloud-real-time-compression-Using-ZFP-and-JPEG-

This repository is about my graduation project.I try to use ZFP(a float-point array compression algorithm) and JPEG still-image compression algorithm for point cloud real-time compression.

pcc_geo_cnn

Learning Convolutional Transforms for Point Cloud Geometry Compression

DeepCompress

Replication code for DeepCompress, a deep learning-based learned point cloud compression technique.

VoxelDNN

Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"

point-cloud-compression

including learning-based and traditional methods

PccAI

PccAI is a framework for AI-based point cloud compression

TransPCC

the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"

awesome-learned-point-cloud-compression

A list of papers about deep point cloud compression.

seqnoc

Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models

torchac

Entropy coding / arithmetic coding for PyTorch

IPDAE

(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.

PCC-S

[ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors

PCTMA_Net

Point cloud completion using Transformer

VoxelDNN_v2

Tensorflow implementation of the paper "Lossless Coding of Point Cloud Geometry using aDeep Generative Model"

lidar_feature_extraction

Feature extraction from LiDAR point cloud

Point-Cloud-Compression

Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.

3D-PointCloud

Papers and Datasets about Point Cloud.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

torch-points3d

Pytorch framework for doing deep learning on point clouds.

DeepZip

NN based lossless compression

high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

compression

Data compression in TensorFlow