AI RESEARCH
BrickNet: Graph-Backed Generative Brick Assembly
arXiv CS.CV
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ArXi:2604.22984v1 Announce Type: new We train a language model to generate LEGO-brick build sequences. While prior work has been restricted to discrete, voxel-like towers, we consider a much broader set of pieces, encompassing thousands of part types with diverse connection semantics. To enable this, we first collect a large-scale dataset of over 100,000 human-designed LDraw brick objects and scenes. The complexity of our setting makes it challenging to autoregressively assemble structures that satisfy physical constraints.