ViiNeuS: Volumetric Initialization for Implicit Neural Surface Reconstruction of Urban Scenes with Limited Image Overlap

ViiNeuS StreetSurf [11] Figure 1. We introduce ViiNeuS, a novel SDF initialization method tailored to accurately reconstruct large-scale driving scenes from RGB images with limited overlaps. Extensive experiments on popular driving datasets show the superiority of ViiNeuS's mesh (left) over previous state-of-the-art methods such as StreetSurf[11] (right). The figure presents both the initial mesh and the textured one as derived from both techniques.