Render large point clouds and voxel grids with blender.
- Updated
Sep 15, 2025 - Python
Render large point clouds and voxel grids with blender.
PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)
A Blender add-on for procedural voxelization!
Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3D Urban Point Clouds". Very large data processing techniques using kdtree (scikit-learn API), feature computations on 3D points cloud. (Python, Scikit-Learrn))
Easy-to-Use Molecular Voxelization Tool
Change detection between two LiDAR point clouds using voxelization. Highlight discrepancies in geometry and classification.
Voxelize a mesh surface
This project is a DL model that performs 3D shape (voxelization) generation. It takes text prompts and produces 3D shapes. The model is implemented using supervised learning and has been tested on pytorch.
script for voxelization of 3d models to minecraft .schem schematics with texture support powered by numba cuda.
Anchor-Free LiDAR object detetor for 3d Object detection
A tool for converting 3D models to Minecraft, which needs to be used in conjunction with the Builder mod.
This project implements a modified voxel method for combining 3D models saved in `.x` format, followed by reconstruction of a single shell based on an integral scalar field of distances and weights. The method allows obtaining a smooth, continuous surface with texture mapping using multiple viewpoints.
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