Stars
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
CUDA accelerated rasterization of gaussian splatting
Segment Anything in Medical Images
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Learning Continuous Signed Distance Functions for Shape Representation
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
A lightweight tool for labeling 3D bounding boxes in point clouds.
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Morphological snakes for image segmentation and tracking
Pure Numpy Implementation of the Coherent Point Drift Algorithm
A Python Library for Self Organizing Map (SOM)
NI-DAQmx API for Python, created and supported by NI
A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
An open-source version of the Chisel chunked TSDF library.
C++ implementation of the Coherent Point Drift point set registration algorithm.
Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown