A Clojure library/program for reconstructing surfaces from unorganized collections of point samples, such as those produced by laser range-scanners.
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Updated
Nov 17, 2015 - Clojure
A Clojure library/program for reconstructing surfaces from unorganized collections of point samples, such as those produced by laser range-scanners.
GPUMLib Submodule
These scripts are used to generate brain surface and tract files (in .obj format, parcellated and registered) from Freesurfer recon-all and trac-all packages.
3D Surface and Mesh Reconstruction from RGB Videos using COLMAP and Open3D
Matlab toolbox for creating 3D cave models from sparse survey
Real-time Water Simulation with Surface Interpolation
[VUT FIT] Project for VGE (computational geometry) course
An implementation of the Neural Meshes algorithm in C++
This project implements a neural network model for reconstructing 3D surfaces, based on the DeepSDF architecture from CVPR 2019. It uses a deep, fully-connected neural network (Decoder) to learn Signed Distance Functions (SDFs) from 3D point clouds.
The implementation Marching Cubes using OpenCV in C++
Comparison of a few different methods for estimating surface normals in a point cloud.
Official implementation of the paper "DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping"
An implementation Marching Cubes Tetrahedrons using OpenCV in C++
Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
Surface reconstruction from point cloud showcase app.
Poisson Surface Reconstruction Module for UIPF SfM
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
A computational tool for stitching together and analyzing 3D microscope images of droplets. Coded in matlab.
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