Sketch-based Generation

Sketch-Based Generation is a generative methodology within interactive generative systems that enables the creation or synthesis of digital content through the interpretation and transformation of hand-drawn sketches as primary input.

279

Publications

15.9K

Citations

870

Authors

272

Institutions

Publications per year

2017–2026

160

Authors

870

  1. HF
    Hongbo Fu

    City University of Hong Kong, Hong Kong SAR China

    13 publications · 584 citations

    12

    h-index

  2. YS
    Yi-Zhe Song

    University of Surrey, United Kingdom

    9 publications · 341 citations

    9

    h-index

  3. XG
    Xinbo Gao

    Xidian University, China

    7 publications · 363 citations

    7

    h-index

  4. JH
    James Hays

    Georgia Institute of Technology, United States

    6 publications · 1.3K citations

    6

    h-index

  5. TX
    Tao Xiang

    Queen Mary University of London, United Kingdom

    6 publications · 210 citations

    6

    h-index

1–5 of 870

Venues

  1. ACM Transactions on Graphics

    TOG · 25 publications · 2.4K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 24 publications · 1.3K citations

    15

    h-index

  3. Neurocomputing

    8 publications · 377 citations

    8

    h-index

  4. Computer Graphics Forum

    7 publications · 238 citations

    7

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 153 citations

    5

    h-index

1–5