Anime-Like Motion Transfer with Optimal Viewpoints

Yui Koroku, Issei Fujishiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In 3D character animation, the frame rate is often reduced to mimic hand-drawn animations, like anime (Japanese animation). However, anime with a low frame rate differs from real motions because it omits excessive movements and emphasizes speed by expressing motions with a small number of impressive poses. It is difficult to reproduce such motions only by downsampling mocap data. Thus, in this poster, we propose a method for converting mocap data into anime-like 2D motions by respecting production site techniques. The proposed method evaluates the characteristics of motion data using the time distributions of speeds and pose areas to select an appropriate sequence of viewpoints and extract effective poses for each viewpoint.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2022 Posters
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450394628
Publication statusPublished - 2022 Dec 26
EventSIGGRAPH Asia 2022 - Computer Graphics and Interactive Techniques Conference - Asia, SA 2022 - Daegu, Korea, Republic of
Duration: 2022 Dec 62022 Dec 9

Publication series

NameProceedings - SIGGRAPH Asia 2022 Posters


ConferenceSIGGRAPH Asia 2022 - Computer Graphics and Interactive Techniques Conference - Asia, SA 2022
Country/TerritoryKorea, Republic of


  • 3D character
  • anime
  • motion style transfer

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition


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