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LegoGPT: Generating Physically Stable and Buildable Lego
EGO structure from a user-provided text prompt in an end-to-end manner. Notably, our generated LEGO structure is physically stable and buildable.
To improve the stability of the resulting designs, we employ an efficient validity check and physics-aware rollback during autoregressive inference, which prunes infeasible token predictions using physics laws and assembly constraints. Our experiments show that LegoGPT produces stable, diverse, and aesthetically pleasing LEGO designs that align closely with the input text prompts. (a) From a ShapeNetCore mesh, we generate a LEGO design by voxelizing it onto a \(20\times 20 \times 20\) grid and applying legolization to determine the brick layout.
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