linyaog

torchac

Entropy coding / arithmetic coding for PyTorch

MSVoxelDNN

Pytorch implementation of the paper "Multiscale deep context modeling for lossless pointcloud geometry compression"

deep-point-map-compression

semantic-kitti-api

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

DeepCompress

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

pcc_geo_cnn_v2

Improved Deep Point Cloud Geometry Compression

PCGCv1

Point Cloud Geometry Compression

PCGCv2

Multiscale Point Cloud Compression

kdtree

A Python implementation of a kd-tree

3d-deep-learning

3D Deep Learning works

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Bjontegaard_metric

Bjontegaard metric calculation. Include BD-PSNR and BD-rate

Deformable-Convolution-V2-PyTorch

Deformable ConvNets V2 (DCNv2) in PyTorch

mpeg-pcc-tmc13

Geometry based point cloud compression (G-PCC) test model

RandLA-Net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

KPConv-PyTorch

Kernel Point Convolution implemented in PyTorch

pyTorchChamferDistance

Implementation of the Chamfer Distance as a module for pyTorch

SampleNet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

PU-GCN

[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

completion3d

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019

pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

pcc_attr_folding

Folding-based compression of point cloud attributes

Lidar_For_AD_references

A list of references on lidar point cloud processing for autonomous driving

PUGAN-pytorch

Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

PCGCv2

Multiscale Point Cloud Geometry Compression

pc_compress

PyTorchEMD

PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

VoxelDNN

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

mpeg-pcc-tmc2

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