Papers › MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model
MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model
Lei Jiang, Ye Wei, Hao Ni
Diffusion models have become a popular choice for human motion synthesis due to their powerful generative capabilities. However, their high computational complexity and large sampling steps pose challenges for real-time applications. Fortunately, the Consistency Model (CM) provides a solution to greatly reduce the number of sampling steps from hundreds to a few, typically fewer than four, significantly accelerating the synthesis of diffusion models. However, its application to text-conditioned human motion synthesis in latent space remains challenging. In this paper, we introduce \textbf{MotionPCM}, a phased consistency model-based approach designed to improve the quality and efficiency of real-time motion synthesis in latent space.
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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 | MotionPCM | Diversity | 9.575 | #2 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | MotionPCM | FID | 0.030 | #2 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | MotionPCM | Multimodality | 1.714 | #2 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | MotionPCM | R Precision Top3 | 0.842 | #2 of 37 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | MotionPCM | Diversity | 10.827 | #11 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | MotionPCM | FID | 0.294 | #11 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | MotionPCM | Multimodality | 1.254 | #11 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | MotionPCM | R Precision Top3 | 0.787 | #11 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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