Flow Interpolation

Flow Interpolation is a computational method in flow animation that estimates intermediate motion fields between sparse or discrete fluid flow states by leveraging spatiotemporal coherence and vector field continuity to generate smooth, physically plausible transitions.

48

Publications

3K

Citations

135

Authors

72

Institutions

Publications per year

2017–2026

14

Authors

135

  1. KB
    Klaus‐Jürgen Bathe

    Massachusetts Institute of Technology, United States

    2 publications · 98 citations

    2

    h-index

  2. LW
    Lior Wolf

    Tel Aviv University, Israel

    2 publications · 135 citations

    2

    h-index

  3. BZ
    Bin Zhao

    Northwestern Polytechnical University, China

    1 publications · 12 citations

    1

    h-index

  4. MP
    Matteo Pini

    Delft University of Technology, Netherlands

    1 publications · 43 citations

    1

    h-index

  5. MR
    Mashallah Rezakazemi

    University of Shahrood, Iran

    1 publications · 14 citations

    1

    h-index

1–5 of 135

Venues

  1. Journal of Computational Physics

    4 publications · 283 citations

    4

    h-index

  2. Computers & Fluids

    3 publications · 89 citations

    3

    h-index

  3. Experiments in Fluids

    3 publications · 43 citations

    3

    h-index

  4. ACM Transactions on Graphics

    TOG · 2 publications · 55 citations

    2

    h-index

  5. 2

    h-index

1–5