What is it about?
We focus on utilizing SkelGAN, a modified version of the U-Net architecture, to transfer font styles from English to Khmer characters. For our experiment, we collected a dataset of 15 calligraphy fonts containing both Khmer and English characters. To assess the performance of the generated images, we used the Structural Similarity Index Measure (SSIM). We compare the generated images with the ground truth images, providing a quantitative assessment of their similarity.
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Why is it important?
The objective of this study is to support Khmer font designers in creating new Khmer font that have the same style as a specific English font.
Perspectives
By leveraging deep learning techniques, the font design process can be accelerated, with algorithms capable of generating Khmer calligraphy that faithfully captures the font style of the original calligraphy using just a simple line as input.
Chanarin HENG
Kasetsart University
Read the Original
This page is a summary of: Khmer Calligraphy Style Transfer Using SkelGAN, December 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3628454.3630163.
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