Calligraphic Generation
Calligraphic Generation is a generative method in the field of computational art and design that produces visual forms through algorithmically simulated handwriting or stroke-based gestures, distinguished by its emphasis on expressive, time-ordered, and kinesthetically informed mark-making as a core generative principle.
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1.6K
Citations
159
Authors
66
Institutions
Publications per year
2017–2026
15
Parents
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Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
Pengyuan Lyu, Xiang Bai, Cong Yao et al. · 2017 · 144 citations
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Zhejiang University
Hangzhou, China
10 h-index
29 publications
778 citations
Xiamen University
Xiamen, China
8 h-index
27 publications
812 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
6 h-index
6 publications
176 citations
Yuan Ze University
Taoyuan District, Taiwan
6 h-index
6 publications
176 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
6 h-index
14 publications
471 citations

Aberystwyth University
Aberystwyth, United Kingdom
6 h-index
13 publications
337 citations

Tokyo University of Agriculture and Technology
Tokyo, Japan
3 h-index
6 publications
74 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
8 publications
174 citations
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3 publications · 71 citations
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2 publications · 57 citations
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Repository · 2 publications · 26 citations
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