Generating Handwriting via Decoupled Style Descriptors
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-58610-2_45
Reference41 articles.
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3. Alonso, E., Moysset, B., Messina, R.O.: Adversarial generation of handwritten text images conditioned on sequences. arXiv abs/1903.00277 (2019)
4. Azadi, S., Fisher, M., Kim, V.G., Wang, Z., Shechtman, E., Darrell, T.: Multi-content GAN for few-shot font style transfer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7564–7573 (2018)
5. Balashova, E., Bermano, A.H., Kim, V.G., DiVerdi, S., Hertzmann, A., Funkhouser, T.: Learning a stroke-based representation for fonts. Comput. Graph. Forum 38(1), 429–442 (2019). https://doi.org/10.1111/cgf.13540. https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13540
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