AI Research

    PhyDrawGen: Physically Grounded Diagram Generation from Natural Language

    Generating physics diagrams from text requires strict adherence to physical laws. While current generative models produce visually plausible outputs, they systematically hallucinate force vectors, ignore conservation laws, and violate geometric constraints. We present PhyDrawGen,...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    This research addresses a critical flaw in current AI diagram generation by incorporating physics constraints, moving beyond mere visual plausibility to ensure scientific accuracy. By combining LLMs with deterministic solvers and visual grounding, it offers a robust solution for generating physically correct physics diagrams from text.

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