TY - GEN
T1 - Anime-Like Motion Transfer with Optimal Viewpoints
AU - Koroku, Yui
AU - Fujishiro, Issei
N1 - Funding Information:
This work has been partially supported by Grant-in-Aid for Scientific Research (A) JP21H04916 and the Research Grant of Keio Leading-edge Laboratory of Science & Technology.
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/12/26
Y1 - 2022/12/26
N2 - 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.
AB - 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.
KW - 3D character
KW - anime
KW - motion style transfer
UR - http://www.scopus.com/inward/record.url?scp=85145591324&partnerID=8YFLogxK
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U2 - 10.1145/3550082.3564212
DO - 10.1145/3550082.3564212
M3 - Conference contribution
AN - SCOPUS:85145591324
T3 - Proceedings - SIGGRAPH Asia 2022 Posters
BT - Proceedings - SIGGRAPH Asia 2022 Posters
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
T2 - SIGGRAPH Asia 2022 - Computer Graphics and Interactive Techniques Conference - Asia, SA 2022
Y2 - 6 December 2022 through 9 December 2022
ER -