The future of Street View looks like this 😍 Basically City-scale 3D Gaussian Splatting. Thanks to a hierarchical level of detail (LOD) approach, you get real-time rendering of massive scenes at 30+ FPS! But capturing city scale at street level is SUPER messy, with people, cars, and pets (!) moving everywhere - resulting in reconstruction artifacts. In this paper, these 'movers' were detected and removed in a pre-processing step using Mask R-CNN and checking against the SfM point cloud. Vehicle license plates were also detected and masked out. Not only is this CNN segmentation step useful to eliminate movers — it is crucial for privacy and aesthetic reasons too! All the stuff you need to ship this stuff commercially.