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da03 committed May 9, 2022
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A general-purpose, deep learning-based system to decompile an image into presentational markup. For example, we can infer the LaTeX or HTML source from a rendered image.

<p align="center"><img src="http://lstm.seas.harvard.edu/latex/network.png" width="400"></p>
<p align="center"><img src="http://52.24.243.180/network.png" width="400"></p>

An example input is a rendered LaTeX formula:

<p align="center"><img src="http://lstm.seas.harvard.edu/latex/results/website/images/119b93a445-orig.png"></p>
<p align="center"><img src="http://52.24.243.180/website/images/119b93a445-orig.png"></p>

The goal is to infer the LaTeX formula that can render such an image:

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* Distance

```
wget http://lstm.seas.harvard.edu/latex/third_party/Distance-0.1.3.tar.gz
wget http://52.24.243.180/third_party/Distance-0.1.3.tar.gz
```

```
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