ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty

arXiv:2405.02568v1 Announce Type: new
Abstract: Active learning in 3D scene reconstruction has been widely studied, as selecting informative training views is critical for the reconstruction. Recently, Neural Radiance Fields (NeRF) variants have shown performance increases in active 3D reconstruction using image rendering or geometric uncertainty. However, the simultaneous consideration of both uncertainties in selecting informative views remains unexplored, while utilizing different types of uncertainty can reduce the bias that arises in the early training stage with sparse inputs. In this …

3d reconstruction abstract active learning arxiv cs.ai cs.cv fields however image nerf neural radiance fields performance rendering surface training type uncertainty variants