[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

[IJCV 2026] Project Page for "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"

implement some algorithms of 6d pose estimation

A TensorRT and C++ based deployment of ​​FoundationPose, which makes integration lightweight and efficient. Supports Jetson Orin. Adapted from nvidia_isaac_pose_esitimation.

A Perspective-n-Points-and-Lines method.

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.

[TII 2023] Code for "Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation".

[TPAMI 2025] Code for "Diff9D: Diffusion-Based Domain-Generalized Category-Level 9DoF Object Pose Estimation".

Code for "Novel Object 6D Pose Estimation with a Single Reference View".

[TNNLS 2025] Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation".

[ICRA'25] Code for "MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model".

The more dimensions, the better the geometry.

official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'

pi (π) is star vision!

Minesweeper in 6 dimensions

Cascade Analysis Language — a deterministic DSL for modeling how failure propagates across organizations. 10 keywords, 5-layer pipeline, 6D dimensions. DOI: 10.5281/zenodo.18905193