DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields

arXiv:2309.08927v2 Announce Type: replace
Abstract: The accurate reconstruction of dynamic scenes with neural radiance fields is significantly dependent on the estimation of camera poses. Widely used structure-from-motion pipelines encounter difficulties in accurately tracking the camera trajectory when faced with separate dynamics of the scene content and the camera movement. To address this challenge, we propose DynaMoN. DynaMoN utilizes semantic segmentation and generic motion masks to handle dynamic content for initial camera pose estimation and statics-focused ray sampling for fast and …

abstract arxiv cs.cv dynamic dynamics fields localization neural radiance fields pipelines robust tracking trajectory type