BrickAnything generates buildable brick structures from 3D point clouds via geometry-conditioned autoregressive prediction with structure-aware tree tokenization and post-training for stability.
BrickNet: Graph-Backed Generative Brick Assembly
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abstract
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. When predicting block pose directly, build sequences quickly become invalid after a small number of steps. Although pieces are placed in 3D space, it is the spatial relationships of the parts which define the whole. With this in mind, we design a graph-based program representation that parametrizes structure through connectivity, improving the physical grounding of generated sequences. To enable future applications, we make our dataset and models available for research purposes. https://kulits.github.io/BrickNet
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PVPO is a sample-efficient RL method that improves semantic, geometric, and physical quality in LLM LEGO assembly generation by mitigating the PhysHack failure mode where validity alone fails to ensure fidelity.
citing papers explorer
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BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
BrickAnything generates buildable brick structures from 3D point clouds via geometry-conditioned autoregressive prediction with structure-aware tree tokenization and post-training for stability.
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Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
PVPO is a sample-efficient RL method that improves semantic, geometric, and physical quality in LLM LEGO assembly generation by mitigating the PhysHack failure mode where validity alone fails to ensure fidelity.