The NeRFect Match: Exploring NeRF Features for Visual Localization

arXiv:2403.09577v1 Announce Type: new
Abstract: In this work, we propose the use of Neural Radiance Fields (NeRF) as a scene representation for visual localization. Recently, NeRF has been employed to enhance pose regression and scene coordinate regression models by augmenting the training database, providing auxiliary supervision through rendered images, or serving as an iterative refinement module. We extend its recognized advantages -- its ability to provide a compact scene representation with realistic appearances and accurate geometry -- by exploring the …

abstract arxiv cs.cv database features fields images localization match nerf neural radiance fields regression representation supervision through training type visual work