igilitschenski / deep_bingham
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
☆31Updated 2 months ago
Related projects: ⓘ
- ☆23Updated 2 years ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆182Updated this week
- ☆23Updated 3 years ago
- Official code for "Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling" (CVPR 2023)☆12Updated 7 months ago
- Efficient SE(3)-Equivariant Point Network☆46Updated last year
- A python class that calculates chamfer distance between point clouds using tensorflow☆72Updated 6 years ago
- ☆18Updated 3 years ago
- ☆12Updated 4 years ago
- Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …☆32Updated 2 years ago
- ☆10Updated 5 years ago
- Fast Fourier transform on SO(3)☆27Updated 2 years ago
- A model-free 6D object pose tracking baseline with ICP and TSDF fusion.☆26Updated 5 years ago
- ☆13Updated 4 years ago
- [NeurIPS 2021], self-supervised 6D pose on category level☆87Updated 2 years ago
- Code for paper Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity☆25Updated 3 years ago
- Neural implicit reconstruction experiments for the Vector Neuron paper☆41Updated 3 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆70Updated last year
- ☆14Updated this week
- Benchmarking PyTorch variants of TSDF fusion.☆47Updated 4 years ago
- Method to predict distributions over 3D object rotation from 2D images☆26Updated last year
- Constrained pose Hypothesis Set Elimination official code for pose estimation☆12Updated last month
- [CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes☆50Updated last year
- An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images☆32Updated 4 years ago
- Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021☆78Updated last year
- [CVPR 2022] FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering☆26Updated 2 years ago
- Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet☆27Updated 2 years ago
- SynPick dataset generator☆12Updated 3 years ago
- [CVPR 2022] Projective Manifold Gradient Layer For Deep Rotation Regression☆67Updated 3 months ago
- [CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation☆110Updated last month
- Certifiable Outlier-Robust Geometric Perception☆107Updated 9 months ago