Scene Coordinate

Scene coordinate regression (SCR) aims to predict the 3D coordinates of each pixel in an image, enabling accurate camera localization and visual relocalization. Current research focuses on improving SCR's efficiency and accuracy, particularly in large-scale and unseen environments, through techniques like error-guided feature selection, sparse neural radiance fields (NeRFs), and hierarchical models that combine coarse-to-fine predictions. These advancements are significant for applications such as autonomous driving, robotics, and augmented reality, offering faster and more robust visual localization capabilities than traditional methods.