Depth Priors in Removal Neural Radiance Fields

arXiv:2405.00630v1 Announce Type: new
Abstract: Neural Radiance Fields (NeRF) have shown impressive results in 3D reconstruction and generating novel views. A key challenge within NeRF is the editing of reconstructed scenes, such as object removal, which requires maintaining consistency across multiple views and ensuring high-quality synthesised perspectives. Previous studies have incorporated depth priors, typically from LiDAR or sparse depth measurements provided by COLMAP, to improve the performance of object removal in NeRF. However, these methods are either costly or time-consuming. …

3d reconstruction abstract arxiv challenge cs.cv editing fields key multiple nerf neural radiance fields novel object perspectives quality results studies type