The content introduces a novel paradigm, Compositional Generative Inverse Design (CinDM), for optimizing complex systems through inverse design. It addresses challenges in traditional optimization methods and showcases the effectiveness of diffusion models in achieving compositional generalization. The method is demonstrated in N-body interactions and 2D multi-airfoil design tasks, highlighting its ability to design systems more complex than those seen in training.
Para Outro Idioma
do conteúdo original
arxiv.org
Principais Insights Extraídos De
by Tailin Wu,Ta... às arxiv.org 03-12-2024
https://arxiv.org/pdf/2401.13171.pdfPerguntas Mais Profundas