132
points
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.
Why does the arXiv non-exclusive license preclude the inclusion of arXiv figures in the published data set? I don't see how the conditions set by the license imply that:
https://arxiv.org/licenses/nonexclusive-distrib/1.0/license....Would someone feed the model a hand drawn scientific figure and it would output the TeX to create the figure digitally?
Would be insane to have an end to end product. One that transcribes my audio, at the same time annotating it with the equations and figures I have drawn on the whiteboard.
I hope that German secondary physics and chemistry teacher who has an amazing free pdf book about tikz sees this.
This was such a great and didactic book to real tkiz. I can't find it right now, but must be somewhere.
[1] https://github.com/lukas-blecher/LaTeX-OCR