hhjuan

python-cheatsheet

Comprehensive Python Cheatsheet

differentiable-point-clouds

The reference implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds"

Mask-Editor

This is a new image annotation tool for image segmentation tasks

pix3d

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

ObjectNet3D_toolbox

Toolbox for ObjectNet3D

Angular-Triplet-Loss

ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss

cloud_annotation_tool

L-CAS 3D Point Cloud Annotation Tool

pytorch-rotationnet

SO-Net

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

PU-Net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

deep-residual-networks

Deep Residual Learning for Image Recognition

Deformable-ConvNets

Deformable Convolutional Networks

3D-Deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

rviz_cloud_annotation

Point cloud annotation tool based on RViz

pnd2pcd_batch

Small utility to convert pair of depth\rgb PNG files into pointcloud's PCD files

PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

drnet_cvpr2017

Detecting Visual Relationships with Deep Relational Networks

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

3D-Machine-Learning

A resource repository for 3D machine learning

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters