TY - GEN
T1 - Semantic-Driven Multi-character Multi-motion 3D Animation Generation
AU - Liang, Hui
AU - Xu, Fan
AU - Pan, Junjun
AU - Zhang, Zhaolin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Semantic-driven animation generation significantly eases the workload of animators, but it still confronts a variety of challenges (e.g., natural language input, temporal reasoning under visualization, linking natural language with graphical systems, etc.). This paper tackles the issue of synchronized motion juxtaposition in terms of temporal visualization. We utilize semantic dependency analysis, prior probabilities and the Semantic Action Graph to extract and fuse synchronous motions, thus creating an advanced system for generating Semantic-driven 3D animations. The results demonstrate that our system proficiently generates natural and coherent 3D animations from text descriptions involving multiple characters and actions. This effectively overcomes the synchronized motion juxtaposition challenge and advances the field of Semantic-driven animation creation.
AB - Semantic-driven animation generation significantly eases the workload of animators, but it still confronts a variety of challenges (e.g., natural language input, temporal reasoning under visualization, linking natural language with graphical systems, etc.). This paper tackles the issue of synchronized motion juxtaposition in terms of temporal visualization. We utilize semantic dependency analysis, prior probabilities and the Semantic Action Graph to extract and fuse synchronous motions, thus creating an advanced system for generating Semantic-driven 3D animations. The results demonstrate that our system proficiently generates natural and coherent 3D animations from text descriptions involving multiple characters and actions. This effectively overcomes the synchronized motion juxtaposition challenge and advances the field of Semantic-driven animation creation.
KW - animation generation
KW - semantics
KW - synchronized motion
KW - synchronized motion juxtaposition challenge
UR - https://www.scopus.com/pages/publications/105028353231
U2 - 10.1007/978-981-96-2681-6_19
DO - 10.1007/978-981-96-2681-6_19
M3 - 会议稿件
AN - SCOPUS:105028353231
SN - 9789819626809
T3 - Communications in Computer and Information Science
SP - 268
EP - 280
BT - Computer Animation and Social Agents - 37th International Conference, CASA 2024, Revised Selected Papers
A2 - Magnenat Thalmann, Nadia
A2 - Hu, Xinrong
A2 - Sheng, Bin
A2 - Thalmann, Daniel
A2 - Peng, Tao
A2 - Meng, Weiliang
A2 - Huang, Jin
A2 - Zhu, Lei
A2 - Wei, Xiong
PB - Springer Science and Business Media Deutschland GmbH
T2 - 37th International Conference on Computer Animation and Social Agents, CASA 2024
Y2 - 5 June 2024 through 7 June 2024
ER -