Instance Generation

Instance Generation is a methodological construct in variable font technology that enables the derivation of specific, optimized font instances from a continuous design space by specifying particular axis configurations, thereby distinguishing it from static font generation or interpolation techniques limited to discrete master designs.

303

Publications

17.4K

Citations

960

Authors

388

Institutions

Publications per year

2017–2026

167

Authors

960

  1. CT
    Chih‐Fong Tsai

    National Central University, Taiwan

    9 publications · 604 citations

    9

    h-index

  2. FH
    Francisco Herrera

    Universidad de Granada, Spain

    5 publications · 416 citations

    5

    h-index

  3. KS
    Kate Smith‐Miles

    Monash University, Australia

    4 publications · 222 citations

    4

    h-index

  4. GT
    Gabriele Taentzer

    Philipps University of Marburg, Germany

    4 publications · 195 citations

    4

    h-index

  5. WZ
    Wei Zhao

    Texas A&M University, United States

    3 publications · 196 citations

    3

    h-index

1–5 of 960

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 739 citations

    12

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 473 citations

    9

    h-index

  3. Expert Systems with Applications

    8 publications · 460 citations

    8

    h-index

  4. Knowledge-Based Systems

    6 publications · 453 citations

    6

    h-index

  5. Soft Computing

    4 publications · 93 citations

    4

    h-index

1–5