FlyingGiraffe / vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
☆473Updated 2 years ago
Alternatives and similar repositories for vnn:
Users that are interested in vnn are comparing it to the libraries listed below
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆312Updated 10 months ago
- rendering (optionally temporal) point clouds using Mitsuba2☆154Updated 11 months ago
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆110Updated 2 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆355Updated 5 years ago
- Chamfer Distance in Pytorch with f-score☆349Updated 4 years ago
- Implementation of the Chamfer Distance as a module for pyTorch☆287Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆519Updated 2 weeks ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆503Updated last year
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆330Updated 3 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆324Updated 6 months ago
- This is an unofficial implementation of the Point Transformer paper.☆542Updated 2 years ago
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆695Updated 2 weeks ago
- Python efficient farthest point sampling (FPS) library. Compatible with numpy.☆104Updated 3 months ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆225Updated 2 years ago
- Point Transformers☆668Updated 11 months ago
- Learning Gradient Fields for Shape Generation☆189Updated 3 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆572Updated last year
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆292Updated last year
- Pytorch implementation of PCT: Point Cloud Transformer☆362Updated 3 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆447Updated 2 years ago
- PartNet Dataset Official Release Repo☆369Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆377Updated last year
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆765Updated 6 months ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆376Updated last year
- ☆157Updated 5 years ago
- Implementation of the Point Transformer layer, in Pytorch☆594Updated 3 years ago
- A 100x faster SVD for PyTorch⚡️☆459Updated 2 years ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆184Updated 5 months ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆236Updated 7 months ago
- Implicit Geometric Regularization for Learning Shapes☆411Updated 3 years ago