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 ...
CoordAR is a novel autoregressive framework for single-reference 6D pose estimation of unseen objects. CoordAR requires only a single reference RGB-D image instead of a full 3D model. Our method ...