Letterform Generation
Letterform Generation is a computational method that synthesizes typographic letterforms through algorithmic or parametric processes, distinguishing it from manual design by automating the creation of character shapes based on formal, linguistic, or stylistic rules.
14
Publications
3.2K
Citations
35
Authors
18
Institutions
Publications per year
2017–2026
2
Parents
14
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Haibin He, Xinyuan Chen, Chaoyue Wang et al. · International Journal of Computer Vision · 2024 · 50 citations
1–5 of 14
35
2
h-index
1
h-index
1
h-index
1 publications · 12 citations
1
h-index
1
h-index
1–5 of 35
18
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
3K citations

Polytechnique Montréal
Montreal, Canada
2 h-index
3 publications
96 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
50 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
1 h-index
1 publications
50 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
1 h-index
4 publications
72 citations
Wuhan University
Wuhan, China
1 h-index
5 publications
250 citations

University of Minnesota
Minneapolis, United States
1 h-index
3 publications
93 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
2.9K citations
1–8 of 18
Repository · 1 publications · 12 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 50 citations
1
h-index
1 publications · 31 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5