FlyingGiraffe / vnn-pc
Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet
☆31Updated 2 years ago
Alternatives and similar repositories for vnn-pc:
Users that are interested in vnn-pc are comparing it to the libraries listed below
- ☆29Updated last year
- Shape-Pose Disentanglement using SE (3)-equivariant Vector Neurons☆18Updated 2 years ago
- [NeurIPS 2021], self-supervised 6D pose on category level☆94Updated 3 years ago
- [CVPR 2022] Projective Manifold Gradient Layer For Deep Rotation Regression☆67Updated 9 months ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Updated last year
- Efficient SE(3)-Equivariant Point Network☆54Updated last year
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆110Updated 2 years ago
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆90Updated 2 years ago
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023☆56Updated 8 months ago
- Official Implementation of PartGlot (CVPR 2022 Oral)☆30Updated 4 months ago
- [CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes☆52Updated 2 years ago
- Method to predict distributions over 3D object rotation from 2D images☆29Updated last year
- Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch☆72Updated 5 months ago
- PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features☆30Updated 2 years ago
- This is the official code for "Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories"☆47Updated last year
- Updated 2 months ago
- ☆19Updated 8 months ago
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆55Updated 3 years ago
- ☆41Updated last year
- [ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".☆40Updated 2 years ago
- Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …☆34Updated 2 years ago
- Code Release for AAAI 2023, "NeAF: Learning Neural Angle Fields for Point Normal Estimation"☆35Updated 11 months ago
- ☆54Updated 2 years ago
- [ECCV 2022] Disentangled Instance Mesh Reconstruction☆31Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆102Updated 2 years ago
- Neural implicit reconstruction experiments for the Vector Neuron paper☆43Updated 3 years ago
- [NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation☆32Updated 8 months ago
- [SIGGRAPH Asia 2019] RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud☆28Updated last year
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆124Updated 2 years ago
- Repository containing the code of "Learning to Orient Surfaces by Self-supervised Spherical CNNs".☆17Updated 3 years ago