[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
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Updated
Apr 13, 2026 - C++
[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.
[TRO 2026] Code for "Scalable Unseen Object 6-DoF Absolute Pose Estimation with Robotic Integration".
[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".
[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.
[NeurIPS 2026] Code for "GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking".
official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'
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
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