Awesome
ChartReformer: Natural Language-Driven Chart Image Editing
Official repository for the ICDAR2024 paper : <u>[Link]</u>
The dataset can be downloaded from <u>[HERE]</u>.
The model's weight can be downloaded from <u>[HERE]</u>.
Please cite our paper:
@inproceedings{yan2024chartreformer,
title={ChartReformer: Natural Language-Driven Chart Image Editing},
author={Yan, Pengyu and Bhosale, Mahesh and Lal, Jay and Adhikari, Bikhyat and Doermann, David},
booktitle={International Conference on Document Analysis and Recognition},
pages={453--469},
year={2024},
organization={Springer}
}