holycomfort Goto Github PK

123

a new try

asis

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

awesome-point-cloud-analysis-2022

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

backtoreality

[CVPR 2022] Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

dspdet3d

[arXiv 2023] DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcweb

flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

jsnet

JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds, AAAI2020

kpconv

Kernel Point Convolutions

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

number8

A famous and incredibly exciting shortcut!

pointconv

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (no tf_opt) and test on ModelNet, ShapeNet and S3DIS.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

sao_club

scanobjectnn

Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019

smalldet

softpool

Semantic Points Completion

spatial-transformer-networks_pytorch

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds