luost26 / Equivariant-OrientedMP
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
☆29Updated 2 years ago
Alternatives and similar repositories for Equivariant-OrientedMP:
Users that are interested in Equivariant-OrientedMP are comparing it to the libraries listed below
- Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet☆31Updated 2 years ago
- ☆16Updated 2 years ago
- Rotation Invariant Convolutions for 3D Point Clouds Deep Learning☆58Updated 5 years ago
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆110Updated 2 years ago
- ☆33Updated 2 years ago
- Efficient SE(3)-Equivariant Point Network☆54Updated last year
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆59Updated 7 months ago
- ☆33Updated 4 years ago
- Method to predict distributions over 3D object rotation from 2D images☆29Updated last year
- Reference implmentation of Diffusion models on SO(3)☆30Updated 2 years ago
- [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen☆42Updated 8 months ago
- ☆20Updated 3 years ago
- Official Implementation for Fast Point Cloud Generation with Straight Flows☆39Updated last year
- The official source codes for the riconv++ (IJCV2022) paper☆28Updated 2 years ago
- ☆157Updated 5 years ago
- [WACV 2021] Dynamic Plane Convolutional Occupancy Networks☆39Updated 3 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 3 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆104Updated last year
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Updated last year
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆57Updated 8 months ago
- Shape-Pose Disentanglement using SE (3)-equivariant Vector Neurons☆18Updated 2 years ago
- Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)☆52Updated 3 months ago
- Unsupervised Deep Shape Descriptor with Point Distribution Learning☆18Updated 4 years ago
- Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation,…☆34Updated 3 years ago
- Trading Positional Complexity vs Deepness in Coordinate Networks☆30Updated last year
- 3D-Rotation-Equivariant Quaternion Neural Networks☆13Updated last year
- Geometric Latent Diffusion Models for 3D Molecule Generation☆230Updated last year
- pointcloud analysis☆24Updated last year
- Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …☆34Updated 2 years ago
- Official source code for "Roto-translated Local Coordinate Frames For Interacting Dynamical Systems". In NeurIPS 2021.☆21Updated 2 years ago