A self-improving LLM agentic framework that generates, validates, and caches VTK visualization scripts, uses a fine-tuned vision model to answer feature queries, and demonstrates improved isovalue selection on four volumetric datasets.
Data courtesy of Siemens Medical Systems, down- loaded as example data with ParaView
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VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
A self-improving LLM agentic framework that generates, validates, and caches VTK visualization scripts, uses a fine-tuned vision model to answer feature queries, and demonstrates improved isovalue selection on four volumetric datasets.