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martinsinnona committed May 28, 2024
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<title>VisDecode: AI-Driven Interpretation and Enhancement of Scientific Plots</title>
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<h1 class="title is-1 publication-title">VisDecode: AI-Driven Interpretation and Enhancement of Scientific Plots</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://github.com/author1">Author One</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://github.com/author2">Author Two</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://author3.com/">Author Three</a><sup>1,2</sup>,
</span>
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<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>University A</span>
<span class="author-block"><sup>2</sup>Institute B</span>
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<h2 class="subtitle has-text-centered">
VisDecode is a project to create an AI tool capable of automatically interpreting and providing feedback on scientific plots. Utilizing state-of-the-art visual language understanding techniques, VisDecode analyzes raster images of plots such as bar charts, line charts, and scatter plots. It extracts key visual attributes like color, shape, positioning, and plot data, all of which significantly impact data perception and understanding. Based on these analyses and well-established best practices from data visualization literature, VisDecode offers actionable suggestions for improving the design of these plots. This feedback helps ensure that scientific visualizations are both clear and effective in communicating data. A significant advantage of VisDecode is its framework-free nature, allowing scientists to continue using their preferred visualization tools while still benefiting from AI-driven design enhancements. By incorporating these expert recommendations, VisDecode empowers researchers to create better data visualizations.
</h2>
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<h2 class="title">BibTeX</h2>
<pre><code>
@misc{author2024visdecode,
title={VisDecode: AI-Driven Interpretation and Enhancement of Scientific Plots},
author={Author One and Author Two and Author Three},
year={2024},
eprint={xxxx.xxxxx},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
</code></pre>
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<p>
Source code mainly borrowed from <a href="https://keunhong.com/">Keunhong Park</a>'s <a href="https://nerfies.github.io/">Nerfies website</a>.
</p>
<p>
Please contact <a href="https://github.com/author1">Author One</a> for feedback and questions.
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