636 Open source projects that are alternatives of or similar to 3dgnn_pytorch

A lean C++ library for working with point cloud data

Papers and Datasets about Point Cloud.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Grid-GCN for Fast and Scalable Point Cloud Learning

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

PyTorch Implementation of some RGBD Semantic Segmentation models.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Pytorch framework for doing deep learning on point clouds.

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

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

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

No description or website provided.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

TF2 implementation of PointNet for segmenting point clouds

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

Pytorch framework for doing deep learning on point clouds.

Keras implementation for Pointnet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html

A concise code for training and evaluating Unet using tensorflow+keras

An awesome semantic segmentation model that runs in real time

Research platform for 3D object detection in PyTorch.

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

LiTS - Liver Tumor Segmentation Challenge

Neural Point-Based Graphics

implement some algorithms of 6d pose estimation

Sandbox for training deep learning networks

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Implementation of active contour loss function

keras implementation of unet plus plus

3D Unet for Isointense Infant Brain Image Segmentation

PyTorch Implementation of Stacked U-Nets (SUNets)

The open source mesh processing system

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Paperlist of awesome 3D detection methods

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Differentiable Surface Splatting

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

hair segmentation in mobile device

Neural word segmentation with rich pretraining, code for ACL 2017 paper

code/webpage for the DeepMapping project

nucleus/cell and histopathology image classification,detection,segmentation

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"