Implicit Function Representation

Implicit Function Representation is a mathematical modeling paradigm that characterizes shapes or fields as the zero level set of a higher-dimensional implicit function, distinguishing it from explicit representations by encoding geometry through continuous scalar functions evaluated over ambient space.

248

Publications

15.1K

Citations

608

Authors

265

Institutions

Publications per year

2017–2026

78

Authors

608

  1. AJ
    Alec Jacobson

    University of Toronto, Canada

    5 publications · 202 citations

    5

    h-index

  2. GT
    Greg Turk

    Georgia Institute of Technology, United States

    4 publications · 706 citations

    4

    h-index

  3. ND
    N. D. Yen

    Institute of Mathematics, Vietnam

    4 publications · 112 citations

    4

    h-index

  4. ZH
    Zeng Huang

    University of Southern California, United States

    4 publications · 1.7K citations

    4

    h-index

  5. JZ
    Juyong Zhang

    University of Science and Technology of China, China

    4 publications · 473 citations

    4

    h-index

1–5 of 608

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 730 citations

    15

    h-index

  2. ACM Transactions on Graphics

    TOG · 12 publications · 1.2K citations

    12

    h-index

  3. 7

    h-index

  4. Computer Graphics Forum

    5 publications · 417 citations

    5

    h-index

  5. IEEE Transactions on Image Processing

    5 publications · 301 citations

    5

    h-index

1–5