leonardodalinky / fpsampleLinks
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
β155Updated 11 months ago
Alternatives and similar repositories for fpsample
Users that are interested in fpsample are comparing it to the libraries listed below
Sorting:
- π PyTorch efficient farthest point sampling (FPS) library.β45Updated 6 months ago
- Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]β224Updated this week
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]β333Updated 4 months ago
- rendering (optionally temporal) point clouds using Mitsuba2β164Updated last year
- Port of cp_kdtree to pytorchβ57Updated 8 months ago
- PyViz3D is a web-based visualizer for 3D objects and point clouds.β388Updated 10 months ago
- Transform your point cloud data into beautifully rendered 3D images.β32Updated 2 years ago
- Pytorch package to compute Chamfer distance between point sets (pointclouds).β345Updated last year
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"β162Updated 3 years ago
- Make your wildest 3D ConvNet dream architectures come trueβ151Updated 2 weeks ago
- [NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objectsβ45Updated last year
- Simple and intuitive implementation of DeepSDF that you can install with a single line of code.β101Updated last year
- Shape-Pose Disentanglement using SE (3)-equivariant Vector Neuronsβ18Updated 3 years ago
- CamTools: Camera Tools for Computer Visionβ199Updated 8 months ago
- Fixed Radius Nearest Neighbor Search on GPUβ191Updated last year
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"β103Updated 3 months ago
- SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation (Accepted by NeurIPS-2023)β115Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.β¦β395Updated last year
- Code for paper "PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify" [ICLR 2025]β62Updated 7 months ago
- β20Updated last year
- Implementation of the Chamfer Distance as a module for PyTorchβ180Updated 2 years ago
- [CVPR 2022, Oral] Learning Partial point cloud matching in Rigid and Deformable scenesβ226Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Cloudsβ230Updated last year
- [CVPR 2022] POCO: Point Convolution for Surface Reconstructionβ218Updated 2 years ago
- Official code repository for the paper: βDiffusion-SDF: Conditional Generative Modeling of Signed Distance Functionsββ268Updated 2 years ago
- Repository of the CVPR paper "Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected Features".β29Updated 11 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"β403Updated 5 years ago
- [CVPR 2022] Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priorsβ31Updated 3 years ago
- pytorch knn [cuda version]β310Updated 3 years ago
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023β60Updated last year