gieseke / bufferkdtree
A Python library for large-scale nearest neigbhor computations via k-d trees and GPUs.
☆63Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for bufferkdtree
- Fast zero-overhead bindings between NumPy and Eigen☆138Updated 2 months ago
- Fast K-Nearest Neighbor search with GPU☆141Updated 7 years ago
- Python Wrapper for Embree☆89Updated last year
- Standalone marching cubes implementation and Python bindings☆96Updated 11 months ago
- This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the …☆133Updated 4 years ago
- Efficient C++ implementation of mesh-to-mesh and mesh-to-point distance.☆57Updated 5 years ago
- ☆29Updated 5 years ago
- Unofficial python wrapper to the nanoflann k-d tree☆34Updated last year
- A set of Python utilities for rendering 3D meshes with OpenGL☆135Updated 5 years ago
- Deep Learning for Robust Normal Estimation in Unstructured Point Clouds☆48Updated 2 years ago
- ☆44Updated 5 years ago
- A working copy of the code from "A Benchmark for Surface Reconstruction" by Berger et. Al☆51Updated 2 months ago
- ☆67Updated 5 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆106Updated 3 years ago
- PLEASE SEE THE OFFICIAL REPOSITORY. THIS IS NOT MAINTAINED ANYMORE.☆93Updated 4 years ago
- ☆96Updated 6 years ago
- ☆27Updated last year
- python voxelizaion☆53Updated 6 years ago
- A simple mesh voxelizer, GPU accelerated with CUDA☆87Updated 8 years ago
- Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds☆92Updated 5 years ago
- Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices☆19Updated 2 years ago
- TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes☆93Updated 5 years ago
- Shape Spherical Harmonics (Descriptors, Alignment, and Symmetry)☆74Updated 5 years ago
- 3D Geometry Renderer for Python☆53Updated 4 years ago
- Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"☆68Updated 3 years ago
- C++ library for fast Gauss transforms.☆66Updated 7 months ago
- Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)☆154Updated 5 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆128Updated 7 months ago
- ☆63Updated 7 years ago
- Building generative models for synthesizing and analyzing volume-rendered images