May 31, 2022 · Building voxelized representations of meshes and point clouds is an important step in data preprocessing for many deep learning methods. Voxelization is also widely used to process point clouds – subsampling, feature extraction, and occupancy analysis, among others.

This repository is a PyTorch implementation of Voxel2Mesh architecture proposed in Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data; Udaranga Wickramasinghe, Edoardo Remelli, Graham Knott and Pascal Fua; MICCAI 2020.

Dec 8, 2019 · In this paper, we therefore introduce a novel architecture that goes directly from 3D image volumes to 3D surfaces without post-processing and with better accuracy than current methods. We evaluate it on Electron Microscopy and MRI brain images as well as CT liver scans. We will show that it outperforms state-of-the-art segmentation methods.

This is a parallel C++ implementation for efficiently voxelizing (watertight, triangular) meshes into signed distance functions (SDFs) and/or occupancy grids. If you use this tool, please cite the following work: title = {Learning 3D Shape Completion from Laser Scan Data with Weak Supervision }, author = {Stutz, David and Geiger, Andreas},

Optimised voxel mesh generation, written in C# and open sourced from the game Sector's Edge. This repository contains C# code for mesh generation on the CPU, setting up VBO and VAOs for OpenGL rendering, as well as fragment and vertex shaders. The explanation and visualisation of this mesh generation technique can be found in this blog post.

Voxel meshing fills an enclosed volume with voxels (hexas) of a predefined size. This type of mesh is primarily used for topology optimization. It does not give meaningful results in a stress analysis.

Jul 29, 2021 · In view of this, we present Voxel-Mesh Network (VMNet), a novel 3D deep architecture that operates on the voxel and mesh representations leveraging both the Euclidean and geodesic information.

Mar 27, 2025 · This paper introduces SparseFlex, a novel sparse-structured isosurface representation that enables differentiable mesh reconstruction at resolutions up to $1024^3$ directly from rendering losses. SparseFlex combines the accuracy of Flexicubes with a sparse voxel structure, focusing computation on surface-adjacent regions and efficiently ...

Nov 14, 2024 · Hex-core voxels combine the automation and flexibility of unstructured meshing with the quality and accuracy benefits of structured grids. This hybrid approach begins with a small number of root voxel elements, which are refined through an octree framework to meet specific size field specifications.

Use the Voxel: Create tool to create voxel meshes. From the Mesh ribbon, click the Voxel > Create tool.