Boraq Madi, Reem Alaasam, Ahmad Droby, Jihad El-Sana. HST-GAN: Historical Style Transfer GAN for Generating Historical Text Images. In Seiichi Uchida, Elisa Barney, Véronique Eglin, editors, Document Analysis Systems - 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22-25, 2022, Proceedings. Volume 13237 of Lecture Notes in Computer Science, pages 523-537, Springer, 2022. [doi]
@inproceedings{MadiADE22,
title = {HST-GAN: Historical Style Transfer GAN for Generating Historical Text Images},
author = {Boraq Madi and Reem Alaasam and Ahmad Droby and Jihad El-Sana},
year = {2022},
doi = {10.1007/978-3-031-06555-2_35},
url = {https://doi.org/10.1007/978-3-031-06555-2_35},
researchr = {https://researchr.org/publication/MadiADE22},
cites = {0},
citedby = {0},
pages = {523-537},
booktitle = {Document Analysis Systems - 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22-25, 2022, Proceedings},
editor = {Seiichi Uchida and Elisa Barney and Véronique Eglin},
volume = {13237},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-06555-2},
}