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Abstract: Category-level 6D pose estimation, predicting the 3D position, orientation, and size of unseen objects, is pivotal for applications in robotics and augmented reality. Existing methodologies ...

depth_estimation is the model-definition framework for depth estimation. It provides a single, consistent API across 12 model families and 28 variants — so you can swap models, compare them, and ...

Abstract: 6D pose estimation is a crucial subfield of visual measurement, extensively applied in robotics, autonomous driving, and augmented reality. Existing instance-level and category-level 6D pose ...

If you use this package, please cite both this implementation: Zito, T., Künstle, D., Aguilar, G., Berkes, P., & Schwetlick, L. psignifit 4.3 (Version 4.3) [Computer ...