Foundation Models Create Large 3D Engineering Dataset

Researchers have developed DeepJEB++, a novel framework that uses foundation models to generate a large-scale 3D engineering dataset. The system augments a small seed set of jet engine brackets into over 15,000 simulation-labeled 3D models. This is achieved by first augmenting in a 2D latent space using a diffusion model, then lifting the validated designs to 3D meshes with a generative foundation model, and finally assigning physics-based labels automatically. AI

IMPACT Enables creation of large-scale, simulation-labeled 3D datasets for engineering AI research.

RANK_REASON The cluster describes a research paper detailing a new method for generating a large-scale 3D engineering dataset using foundation models. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• DeepJEB++
• Gotit.pub
• Hugging Face
• Leekyo Jeong
• ScienceCast
• SimJEB

• paper
• infra

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