1505 Open source projects that are alternatives of or similar to 3d Machine Learning

The open source mesh processing system

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

Python Wrapper for MeshFix: easily repair holes in PyVista surface meshes

A voxel library for real-time applications.

3D Heritage Online Presenter

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

open Multi-View Stereo reconstruction library

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

Convolutional Neural Network for 3D meshes in PyTorch

🎨 Modern 2D/3D - Importer • Exporter • Util - Library, also called (AssetIO)

Demo implementation of smoothly filling holes in 3D meshes using surface fairing

[Mirror] An open world, open source voxel RPG inspired by Dwarf Fortress and Cube World

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

Deep Hough Voting for 3D Object Detection in Point Clouds

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

This is a implementation of the 3D FLAME model in PyTorch

Python binding of 3D visualization library Pangolin

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

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

A fast JavaScript terrain mesh generation tool based on Delaunay triangulation

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

Augmentation package for 3d data based on albumentaitons

A constructive solid geometry (mesh boolean) addon for openFrameworks.

A python module for scientific analysis of 3D objects based on VTK and numpy

A Python library for common tasks on 3D point clouds

Simple SDF mesh generation in Python

Code for PCN: Point Completion Network in 3DV'18 (Oral)

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

Robotics with GPU computing

Unity Plane Mesh Splitter

Frustum PointNets for 3D Object Detection from RGB-D Data

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

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

Voxel plugin for the Godot game engine!

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

Heightmap meshing utility.

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

Papers and Datasets about Point Cloud.

The code for CVPR2019 Oral paper "A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images"

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

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

Implementation of the KinectFusion approach in modern C++14 and CUDA

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Fuse multiple depth frames into a TSDF voxel volume.

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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

Research platform for 3D object detection in PyTorch.

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

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