595 Open source projects that are alternatives of or similar to Torch Points3d

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

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

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

TF2 implementation of PointNet for segmenting point clouds

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

Grid-GCN for Fast and Scalable Point Cloud Learning

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

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

3D Graph Neural Networks for RGBD Semantic Segmentation

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

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

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

Pytorch framework for doing deep learning on point clouds.

Keras implementation for Pointnet

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

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

Papers and Datasets about Point Cloud.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Render large point clouds and voxel grids with blender.

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Segment Source Distribution

Evaluation framework for testing segmentation networks in Keras

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Switchable Normalization for semantic image segmentation and scene parsing.

OpenMMLab's next-generation platform for general 3D object detection.

Slicer extensions index

Generalized Data-free Universal Adversarial Perturbations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

Scripts showcasing filtering techniques applied to point cloud data.

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

The U-Net Segmentation plugin for Fiji (ImageJ)

PyTorch Connectomics: segmentation toolbox for EM connectomics

3D LIDAR-based Graph SLAM

PyTorch extensions for fast R&D prototyping and Kaggle farming

A Kitti Road Segmentation model implemented in tensorflow.

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

Convolutional Neural Network for 3D meshes in PyTorch

Display of Radiohead's House of Cards point cloud data

Trainable models and NN optimization tools

Deep Vessel Segmentation by Learning Graphical Connectivity

PyTorch implementation of Pointnet2/Pointnet++

An implementation of morphological contour interpolation

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Regularized Graph CNN for Point Cloud Segmentation

Catalyst.Segmentation

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

A general 3D object detection codebse.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Sources for the ITKSoftwareGuide.

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

Framework for medical image segmentation using deep neural networks

TFslim based semantic segmentation models, modular&extensible boutique design

Multi-platform, free open source software for visualization and image computing.

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...