Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).
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Updated
Mar 27, 2024 - Python
Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).
Code for "Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation" (TII 2023).
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.
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
A Perspective-n-Points-and-Lines method.
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
implement some algorithms of 6d pose estimation
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