Papers › ParCo: Part-Coordinating Text-to-Motion Synthesis
ParCo: Part-Coordinating Text-to-Motion Synthesis
Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji
We study a challenging task: text-to-motion synthesis, aiming to generate motions that align with textual descriptions and exhibit coordinated movements. Currently, the part-based methods introduce part partition into the motion synthesis process to achieve finer-grained generation. However, these methods encounter challenges such as the lack of coordination between different part motions and difficulties for networks to understand part concepts. Moreover, introducing finer-grained part concepts poses computational complexity challenges. In this paper, we propose Part-Coordinating Text-to-Motion Synthesis (ParCo), endowed with enhanced capabilities for understanding part motions and communication among different part motion generators, ensuring a coordinated and fined-grained motion synthesis. Specifically, we discretize whole-body motion into multiple part motions to establish the prior concept of different parts. Afterward, we employ multiple lightweight generators designed to synthesize different part motions and coordinate them through our part coordination module. Our approach demonstrates superior performance on common benchmarks with economic computations, including HumanML3D and KIT-ML, providing substantial evidence of its effectiveness. Code is available at https://github.com/qrzou/ParCo .
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Motion Synthesis | HumanML3D | ParCo | Diversity | 9.576 | #16 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | ParCo | FID | 0.109 | #16 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | ParCo | Multimodality | 1.382 | #16 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | ParCo | R Precision Top3 | 0.801 | #16 of 37 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | ParCo | Diversity | 10.95 | #18 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | ParCo | FID | 0.453 | #18 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | ParCo | Multimodality | 1.245 | #18 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | ParCo | R Precision Top3 | 0.772 | #18 of 31 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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