I made some time series predictions last week. From this exercise I got the idea. That maybe one could make predictions for 2D images and possibly also for 3D objects.
For 2D images I imagine that if the image had some holes. Not yet calculated values. Then they could be predicted instead of just taking a heavy load on the CPU. This from the surrounding points.
For 3D objects I think one could do the same. If you got some unsure vertexes then just let the algorithm calculate where those should be positioned at. In a similar fashion from the surrounding vertexes and maybe by letting the algorithm know the type of object.
In both cases the function could be named ”smart fill”.