Synthesize TikZ Graphics Programs for Scientific Figures and Sketches
Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its…
In plain words
DeTikZify is a multimodal language model that converts hand-drawn sketches and existing scientific figures into TikZ graphics programs. It preserves the semantic structure of figures while automating what is typically a time-consuming design process. The tool uses a Monte Carlo Tree Search algorithm to iteratively refine outputs without requiring additional training. It is designed for researchers and scientists who need to create or recreate high-quality scientific illustrations in a vector format.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its outputs without the need for additional training.
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