Motion Data Synthesis

Motion Data Synthesis is a computational method that generates new human or non-human movement sequences by modeling spatiotemp把握的态变化规律,从而区别于直接采集或手工标注的运动数据。

89

Publications

6.1K

Citations

287

Authors

113

Institutions

Publications per year

2017–2026

33

Authors

287

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    6 publications · 553 citations

    6

    h-index

  2. KI
    Katsushi Ikeuchi

    The University of Tokyo, Japan

    4 publications · 180 citations

    4

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  3. AN
    Atsushi Nakazawa

    Kyoto University, Japan

    4 publications · 180 citations

    4

    h-index

  4. DF
    David Forsyth

    University of Illinois Urbana-Champaign, United States

    4 publications · 720 citations

    4

    h-index

  5. TS
    Takaaki Shiratori

    Carnegie Mellon University, United States

    3 publications · 109 citations

    3

    h-index

1–5 of 287

Venues

  1. ACM Transactions on Graphics

    TOG · 10 publications · 1.2K citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 120 citations

    4

    h-index

  3. Computer animation and simulation

    3 publications · 148 citations

    3

    h-index

  4. Computer Animation and Virtual Worlds

    3 publications · 78 citations

    3

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 103 citations

    2

    h-index

1–5