igilitschenski / deep_binghamLinks
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
☆35Updated last year
Alternatives and similar repositories for deep_bingham
Users that are interested in deep_bingham are comparing it to the libraries listed below
Sorting:
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆188Updated 10 months ago
- ☆24Updated 4 years ago
- ☆19Updated 4 years ago
- Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …☆35Updated 3 years ago
- Bingham Statistics Library (BSL)☆44Updated 8 years ago
- An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images☆32Updated 4 years ago
- [CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation☆117Updated last year
- Python function for correct averaging of multiple quaternions☆93Updated 7 years ago
- A simple C++ off-screen renderer with Python bindings utilized in the BOP toolkit.☆33Updated 2 years ago
- [NeurIPS 2021], self-supervised 6D pose on category level☆94Updated 3 years ago
- Bayesian filters in PyTorch☆157Updated 2 years ago
- [CVPR 2022] FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering☆26Updated 3 years ago
- ☆10Updated 5 years ago
- Code for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).☆73Updated 3 years ago
- PyTorch implementation of the DeepIM framework☆95Updated 4 years ago
- A model-free 6D object pose tracking baseline with ICP and TSDF fusion.☆27Updated 6 years ago
- A python class that calculates chamfer distance between point clouds using tensorflow☆78Updated 7 years ago
- Neural implicit reconstruction experiments for the Vector Neuron paper☆44Updated 4 years ago
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆109Updated 2 years ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆234Updated 3 years ago
- Core utilities for Berkeley AutoLab.☆83Updated last year
- Original implementation of the paper "Edge Enhanced Implicit Orientation Learning With Geometric Prior for 6D Pose Estimation"☆21Updated last year
- SynPick dataset generator☆13Updated 4 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Updated 2 years ago
- A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking☆149Updated 4 years ago
- ☆45Updated 3 years ago
- Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch☆353Updated 4 months ago
- A point cloud based, implicit surface reconstruction learning architecture.☆93Updated 3 years ago
- Efficient SE(3)-Equivariant Point Network☆57Updated 2 years ago
- Simulating Kinect Noise: adding noise to clean depth-maps rendered with a graphics engine.☆84Updated 4 years ago