ps. its handy to compare the relative data sizes of [ models of ] the same scene : typically for something like a house, the data will be ballpark : - 15GB

ps. its handy to compare the relative data sizes of [ models of ] the same scene : typically for something like a house, the data will be ballpark : - 15GB of pointcloud data ( 100Mn xyzRGB points from a lidar laser scanner ) - 3 GB of 360 panorama photos - 50MB obj 3D textured model - 2MB CAD model Im guessing gaussian-splat would be something like 20x to 40x more efficient than the pointcloud. I achieved similar compression for building scans, using flat textured mini-planes.