This is conflating splatting with more general pointcloud data.
Splatting is fundamentally about viewing pointcloud data. That's great. But it doesn't deal with all the other functions virtual twins need pointclouds for (e.g. design vs real world conformance).
Pointclouds themselves are proving hugely useful in a number of fields but vary considerably in form and application often based on how they are captured (e.g. LiDAR vs SfM photogrammetry)
Visualising pointclouds effectively has been a major problem which splatting really solves elegantly so it will be a major practical advance when splatting is added to cad software and javascript map visualisation libraries.
Splatting is fundamentally about viewing pointcloud data. That's great. But it doesn't deal with all the other functions virtual twins need pointclouds for (e.g. design vs real world conformance).
Pointclouds themselves are proving hugely useful in a number of fields but vary considerably in form and application often based on how they are captured (e.g. LiDAR vs SfM photogrammetry)
Visualising pointclouds effectively has been a major problem which splatting really solves elegantly so it will be a major practical advance when splatting is added to cad software and javascript map visualisation libraries.