6D Pose

6D pose estimation aims to determine the three-dimensional position and orientation of an object within a scene, a crucial task for robotics, augmented reality, and other applications. Current research focuses on improving accuracy and robustness using deep learning models, particularly encoder-decoder architectures, transformer networks, and render-and-compare methods, often leveraging synthetic data and addressing challenges like occlusion and object symmetry. These advancements are driving progress in areas such as robotic manipulation, autonomous navigation, and scene understanding, enabling more sophisticated interactions between machines and the real world.