When conventional 3D techniques are used for animating cel look characters in 3DCG, a sense of incongruity may arise due to the dimensional difference from the 2D appearance. To address this problem, we propose a method based on the cel anime techniques to generate behaviors with less 3D nature from motion capture data. In cel anime, inbetweening technique is used to omit motion and emphasize speed, resulting in taste different from that of real motions. In our method, we focus on the speed distribution of the motion capture data and select the most effective poses to realize the effectiveness of inbetweening while omitting redundant motions by reducing the number of poses drawn, thus reproducing typical motions of cel anime.
|Yui Koroku||Keio University|
- Yui Koroku and Issei Fujishiro: “Anime-Like Motion Transfer with Optimal Viewpoints,” in SIGGRAPH Asia 2022 Posters Proceedings, Article 8, pp. 1―2, Daegu (hybrid), December 6―9, 2022, DOI: 10. 1145/3550082.3564212
- Yui Koroku and Issei Fujishiro: “Anime-Like Motion Transfer with Optimal Viewpoints—Evaluating motions in terms of speed distribution and pose area—,” in proceedings of Visual Computing 2022, pp. 27:1―27:4, Kyoto, October 7, 2022 (in Japanese).
- Yui Koroku, Issei Fujishiro: “Generating Cel Anime Motions by Speed Distribution-Aware Inbetweening,” in The Technical Report of the Institute of Image Information and Television Engineers, Vol. 46, No. 4, pp.63―66, March, 2022 (in Japanese).
- Yui Koroku, Issei Fujishiro: “Motion Generation from Motion Capture for Cel Animation,” in Proceedings of the 84th National Convention of International Processing Society of Japan, Vol. 4, pp. 217―218 (4ZF-01), Online, March 3―5, 2022 (in Japanese).
- Grant-in-Aid for Challenging Research (Pioneering): 21H04916 (2021―)