SKFont: skeleton-driven Korean font generator with conditional deep adversarial networks

In our research, we study the problem of font synthesis using an end-to-end conditional deep adversarial network with a small sample of Korean characters (Hangul). Hangul comprises of 11,172 characters and is composed by writing in multiple placement patterns. Traditionally, font design has required...

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Veröffentlicht in:	International journal on document analysis and recognition 2021-12, Vol.24 (4), p.325-337
Hauptverfasser:	Ko, Debbie Honghee, Hassan, Ammar Ul, Suk, Jungjae, Choi, Jaeyoung
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science Image Processing and Computer Vision Machine learning Original Paper Pattern Recognition
Online-Zugang:	Volltext
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