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Found 3 papers, 1 papers with code
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching
However, these methods are often inefficient and limited by their reliance on pre-trained models that have not be designed specifically for pose estimation.
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers
Learning based 6D object pose estimation methods rely on computing large intermediate pose representations and/or iteratively refining an initial estimation with a slow render-compare pipeline.
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction
Current 6D object pose methods consist of deep CNN models fully optimized for a single object but with its architecture standardized among objects with different shapes.
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