implement some algorithms of 6d pose estimation
-
Updated
Aug 22, 2019 - Python
implement some algorithms of 6d pose estimation
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
A Perspective-n-Points-and-Lines method.
Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
Dual model head pose estimation. Fusion of SOTA models. 360° 6D HeadPose detection. All pre-processing and post-processing are fused together, allowing end-to-end processing in a single inference.
Code for "Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation" (TII 2023).
The more dimensions, the better the geometry.
official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'
Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).
Add a description, image, and links to the 6d topic page so that developers can more easily learn about it.
To associate your repository with the 6d topic, visit your repo's landing page and select "manage topics."