Unsupervised Learning of Robust RGB-D Registration Leveraging Neural Radiance Fields

A novel frame-to-model optimization framework for unsupervised RGB-D registration that leverages neural radiance fields (NeRF) to enhance robustness against multi-view inconsistency factors.