"Finally, we test these automatically generated LEGO sets by constructing physical builds using real LEGO bricks." That reads to me like: "I'm not playing hone

"Finally, we test these automatically generated LEGO sets by constructing physical builds using real LEGO bricks." That reads to me like: "I'm not playing honey, this is work!" I sure hope the team doing this had a lot of fun :) The algorithm itself is OK but doesn't appear all that novel to me. It looks like they're using ShapeNet (or similar dataset) to train a 3D voxel autoencoder which can predict geometry from an image. And then they convert those voxels to LEGO instructions. For the first part, I've seen equally good papers before, for example by the ShapeNet team. For the second part, there's working explicit algorithms. So their main contribution appears to be to combine two working things into a (somewhat) useful whole.