Selective Style Transfer for Text

@article{Gomez2019SelectiveST,
  title={Selective Style Transfer for Text},
  author={R. Gomez and Ali Furkan Biten and Llu{\'i}s G{\'o}mez and J. Gibert and Marccal Rusinol and Dimosthenis Karatzas},
  journal={2019 International Conference on Document Analysis and Recognition (ICDAR)},
  year={2019},
  pages={805-812}
}
  • R. Gomez, Ali Furkan Biten, +3 authors Dimosthenis Karatzas
  • Published 2019
  • Computer Science
  • 2019 International Conference on Document Analysis and Recognition (ICDAR)
  • This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions. Results on different text domains (scene text, machine printed text and handwritten text) and cross-modal results demonstrate that this is feasible, and open different research lines. Furthermore, two architectures for selective style transfer, which means transferring style to only desired image pixels, are proposed. Finally, scene text selective style transfer is evaluated as… CONTINUE READING

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