Yaomoren's repositories
3D-Machine-Learning
A resource repository for 3D machine learning
algo
数据结构和算法必知必会的50个代码实现
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
awesome-self-supervised-learning-on-3D
Paper list for anyone who are interested in self-supervised learning on 3D point cloud.
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
CVPR2020-Code
CVPR 2020 论文开源项目合集
DepthContrast
DepthContrast self-supervised learning for 3D
jakteristics
Compute point cloud geometric features from python
KPConv
Kernel Point Convolutions
KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
Lee-SLAM-source
SLAM 开发学习资源与经验分享
Map-based-Visual-Localization
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
mapnik
Mapnik is an open source toolkit for developing mapping applications
OcCo
code for "OcCo: Occlusion Completion for Point Cloud Pre-Training"
osm-bright
A Carto template for OpenStreetMap data
PixPro
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
PointContrast
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
RandLA-Net
RandLA-Net in Tensorflow
scanobjectnn
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
Source-Codes-3DVison
Source codes collection for 3d vision 视觉三维重建领域的源码收集
SpatioTemporalSegmentation
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
torch-points3d
Pytorch framework for doing deep learning on point clouds.