georgosgeorgos/trajectory-alignment-diffusion

Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023

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This project helps engineers and scientists accelerate the design of physical objects by quickly generating new designs that meet specific constraints. It takes optimization goals and existing design parameters, then outputs novel, high-performing designs faster than traditional physics-based simulations alone. The primary users are researchers and practitioners in engineering design and materials science.

No commits in the last 6 months.

Use this if you need to rapidly generate optimized designs for engineering problems, especially when working with limited data or strict physical constraints.

Not ideal if your design problem does not involve constrained optimization or if you prefer purely physics-based simulation without AI assistance.

engineering-design materials-science topology-optimization constrained-optimization generative-design
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 16 / 25

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25

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6

Language

Python

License

Last pushed

Oct 12, 2023

Commits (30d)

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