Motion Pattern Generation

Motion Pattern Generation is a computational method that synthesizes temporally coherent and structurally organized movement trajectories in generative video art by algorithmically defining dynamic visual element behaviors through procedural or learned temporal models.

394

Publications

24.7K

Citations

1.2K

Authors

361

Institutions

Publications per year

2017–2026

111

Authors

1.2K

  1. SK
    Shuuji Kajita

    National Institute of Advanced Industrial Science and Technology, Japan

    14 publications · 4.4K citations

    13

    h-index

  2. KK
    Kenji Kaneko

    National Institute of Advanced Industrial Science and Technology, Japan

    12 publications · 4.1K citations

    11

    h-index

  3. YN
    Yoshihiko Nakamura

    The University of Tokyo, Japan

    12 publications · 302 citations

    11

    h-index

  4. HH
    Hirohisa Hirukawa

    National Institute of Advanced Industrial Science and Technology, Japan

    10 publications · 4K citations

    10

    h-index

  5. MI
    Masayuki Inaba

    The University of Tokyo, Japan

    9 publications · 541 citations

    9

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 744 citations

    13

    h-index

  2. ACM Transactions on Graphics

    TOG · 14 publications · 1.4K citations

    13

    h-index

  3. Mechanism and Machine Theory

    9 publications · 224 citations

    9

    h-index

  4. Journal of Neurophysiology

    JN · 8 publications · 767 citations

    8

    h-index

  5. Advanced Robotics

    5 publications · 577 citations

    5

    h-index

1–5