An iterative prompt-refinement wrapper around LLM-to-3D generation, using CFD drag, vision-language domain scores, and visual novelty, reports 4.5% to 106.7% DPAR gains over non-refined baselines in car design.
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LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs
An iterative prompt-refinement wrapper around LLM-to-3D generation, using CFD drag, vision-language domain scores, and visual novelty, reports 4.5% to 106.7% DPAR gains over non-refined baselines in car design.