Article

CalliFormer: A Structure-Aware Transformer for Chinese Calligraphy Generation

2025-10-10

Abstract excerpt

<title>Abstract</title> <p>The digital preservation of Chinese calligraphy, a significant intangible cultural heritage, is impeded by the limitations of traditional generative methods in achieving precise style control and structural fidelity. This paper addresses these shortcomings, which are particularly prevalent in models like CalliGAN, by proposing a novel Transformer-enhanced Generative Adversarial Network...

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Literature Corpus work: 4ca793b0-fc61-5886-8eca-a7cd6beb0156
DOI: 10.21203/rs.3.rs-7582846/v1

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