Generative Camera Motion

Generative Camera Motion is a computational framework in generative video art that algorithmically synthesizes camera movement trajectories through procedural or learned models, distinguishing itself from manual cinematography by autonomously generating dynamic viewpoint transitions as an integral component of visual narrative composition.

2

Publications

35

Citations

10

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

10

  1. MK
    Moneish Kumar

    International Institute of Information Technology, India

    1 publications · 12 citations

    1

    h-index

  2. RR
    Rémi Ronfard

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 12 citations

    1

    h-index

  3. LL
    Libin Liu

    Peking University, China

    1 publications · 23 citations

    1

    h-index

  4. VG
    Vineet Gandhi

    Indian Institute of Technology Hyderabad, India

    1 publications · 12 citations

    1

    h-index

  5. BW
    Bin Wang

    Chinese Academy of Sciences, China

    1 publications · 23 citations

    1

    h-index

1–5 of 10

Venues

  1. ACM Transactions on Graphics

    TOG · 1 publications · 23 citations

    1

    h-index

  2. Computer Graphics Forum

    1 publications · 12 citations

    1

    h-index

1–2