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3d-deep-learning-paper-list

asap-net

Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"

coin

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

computer-graphics-f.s-hill-code

code for chapter 1,2,3. computer graphics by F.S Hill jr.

cwi-pcl-codec

Point Cloud Codec invented by Rufael Mekuria, based on PCL (Point Cloud Library)

deep-pcac

deep-point-map-compression

deeplearningimplementations

Implementation of recent Deep Learning papers

gcn-denoiser

Mesh denoising with graph convolutional networks

generalized_graph_fourier_transform

Matlab implementation of Generalized Graph Fourier Transform coding.

git-demo

My First Git Repository

image-to-pointcloud

To generate a point cloud surfaces with textures, like in the case of images!

img2ply

Convert an image sequence to a PLY point cloud.

leinaopai

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

meteornet

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)

multiresolution-gft

Matlab implementation of multi-resolution Graph Fourier Transform coding.

myimage

mymarkdown

It's my markdown exercise.

nnctx

o-cnn

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

paconv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

pc_compress

pcc-mp3dg

test code pcc in 3dg

pcc-octree-jpeg

a point cloud codec for coding .ply files, contributed to MPEG 2017 PCC CfP

pdaloctreesplitpointcloud

The point cloud is split using the ‘pdal’ ‘octree’

pointcloud-rangeimage-prediction

predict pointcloud rangeimage using deep learning for compression

pointcloud-to-images

An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.

pointnet-autoencoder

Autoencoder for Point Clouds

pytorch-deepglr

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising