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.