FlyingGiraffe / vnnLinks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
☆516Updated 3 years ago
Alternatives and similar repositories for vnn
Users that are interested in vnn are comparing it to the libraries listed below
Sorting:
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆348Updated last year
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆114Updated 2 years ago
- A 100x faster SVD for PyTorch⚡️☆483Updated 3 years ago
- rendering (optionally temporal) point clouds using Mitsuba2☆168Updated last year
- Chamfer Distance in Pytorch with f-score☆375Updated 4 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆411Updated 6 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆847Updated last year
- Implementation of the Chamfer Distance as a module for pyTorch☆302Updated 2 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆631Updated 3 years ago
- Python efficient farthest point sampling (FPS) library. Compatible with numpy.☆167Updated 2 weeks ago
- Learning Gradient Fields for Shape Generation☆200Updated 4 years ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆189Updated last year
- ☆814Updated 7 months ago
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆311Updated 2 years ago
- PyViz3D is a web-based visualizer for 3D objects and point clouds.☆398Updated last year
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆390Updated 2 years ago
- RoMa: A lightweight library to deal with 3D rotations in PyTorch.☆622Updated 5 months ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆237Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆347Updated 4 years ago
- pytorch knn [cuda version]☆313Updated 4 years ago
- PartNet Dataset Official Release Repo☆409Updated 2 years ago
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆774Updated last month
- Implementation of the Chamfer Distance as a module for PyTorch☆183Updated 3 years ago
- Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet☆32Updated 3 years ago
- Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)☆175Updated 4 years ago
- ☆307Updated 2 years ago
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆482Updated 3 years ago
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"☆166Updated 3 years ago
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆149Updated 2 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆499Updated 3 years ago