AvaLovelace1/BrickGPT

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1701 stars · 113 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

BrickGPT is the official implementation of an ICCV 2025 Best Paper approach that generates physically stable, buildable toy brick (LEGO) models from text prompts using a fine-tuned autoregressive LLM with physics-aware rollback. It includes the StableText2Brick dataset of 47,000+ brick structures and supports human or robotic assembly of the generated designs.

Use cases

• generate lego brick models from text prompts
• train a language model to predict brick structures
• check physical stability of brick assemblies
• convert 3d meshes into buildable brick layouts
• research on physically grounded generative models
• robotic assembly of generated brick designs

When to choose

• you want to generate stable, buildable brick structures from natural language
• you need the StableText2Brick dataset for research on structured 3D generation
• you are studying physics-aware constrained decoding for LLMs
• you want reproducible code from a peer-reviewed generative AI paper

When to avoid

• you need general-purpose 3D mesh generation rather than brick/voxel structures
• you cannot obtain a Llama-3.2 gated model access token or Gurobi license
• you need a production-ready end-user application rather than research code
• you want photorealistic 3D assets instead of toy brick models

Facets

library · maturity active

llm-training llm-inference machine-learning data-generation simulation artificial-intelligence large-language-models deep-learning machine-learning graphics gaming-tools python cross-platform lego text-to-3d generative-ai physics-stability iccv-2025 research-code stabletext2brick gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AvaLovelace1/BrickGPT")