ie. Few source images vs. traditional photogrammetry.
...but basically yes, tldr; photogrammetry using neural networks; this one is better than other recent attempts at the same thing, but takes a really long time (2 days for this vs 10 minutes for a voxel based approach in one of their comparisons).
Why bother?
mmm... theres some kind speculation you might be able to represent a photorealistic scene/ 3d object as a neural model instead of voxels or meshes.
That might be useful for some things. eg. say, a voxel representation of semi transparent fog, or high detail objects like hair are impractically huge, and as a mesh its very difficult to represent.
