Alternatives and similar repositories for Equivariant-OrientedMP:

Users that are interested in Equivariant-OrientedMP are comparing it to the libraries listed below

• FlyingGiraffe / vnn-pc
  Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet
  ☆31Updated 2 years ago
• hkust-vgd / riconv
  Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
  ☆58Updated 5 years ago
• omri1348 / Frame-Averaging
  ☆34Updated 2 years ago
• simpleinvariance / UniversalNetwork
  ☆16Updated 3 years ago
• nintendops / EPN_PointCloud
  PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
  ☆110Updated 2 years ago
• goodbye61 / RI_l2g
  ☆33Updated 4 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆157Updated 5 years ago
• minghanz / E2PN
  Efficient SE(3)-Equivariant Point Network
  ☆55Updated last year
• Shen-Lab / LDM-3DG
  [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
  ☆50Updated 10 months ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 3 years ago
• sheshap / awesome-point-cloud-transformers
  ☆20Updated 3 years ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆60Updated 9 months ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆74Updated 2 years ago
• FlyingGiraffe / vnn-neural-implicits
  Neural implicit reconstruction experiments for the Vector Neuron paper
  ☆43Updated 3 years ago
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• dmklee / image2sphere
  Method to predict distributions over 3D object rotation from 2D images
  ☆31Updated last year
• ada-shen / REQNN
  3D-Rotation-Equivariant Quaternion Neural Networks
  ☆13Updated last year
• osiriszjq / complex_encoding
  Trading Positional Complexity vs Deepness in Coordinate Networks
  ☆30Updated last year
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 4 years ago
• qazwsxal / diffusion-extensions
  Reference implmentation of Diffusion models on SO(3)
  ☆30Updated 3 years ago
• klightz / PSF
  Official Implementation for Fast Point Cloud Generation with Straight Flows
  ☆45Updated last year
• sailor-z / LGR-Net
  ☆11Updated 4 years ago
• samaonline / spatial-transformer-for-3d-point-clouds
  spatial transformer for 3d point clouds
  ☆29Updated 3 years ago
• orenkatzir / VN-SPD
  Shape-Pose Disentanglement using SE (3)-equivariant Vector Neurons
  ☆18Updated 2 years ago
• Gorilla-Lab-SCUT / SS-Conv
  Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …
  ☆34Updated 2 years ago
• AnjieCheng / CanonicalPAE
  [NeurIPS'21] Learning 3D Dense Correspondence via Canonical Point Autoencoder
  ☆20Updated 3 years ago
• feiran-l / rotation-invariant-pointcloud-analysis
  pointcloud analysis
  ☆23Updated 2 years ago
• jimmy15923 / unsup_point_coseg
  ☆26Updated 2 years ago