Papers › Towards Accurate Human Motion Prediction via Iterative Refinement
Towards Accurate Human Motion Prediction via Iterative Refinement
Jiarui Sun, Girish Chowdhary
Human motion prediction aims to forecast an upcoming pose sequence given a past human motion trajectory. To address the problem, in this work we propose FreqMRN, a human motion prediction framework that takes into account both the kinematic structure of the human body and the temporal smoothness nature of motion. Specifically, FreqMRN first generates a fixed-size motion history summary using a motion attention module, which helps avoid inaccurate motion predictions due to excessively long motion inputs. Then, supervised by the proposed spatial-temporal-aware, velocity-aware and global-smoothness-aware losses, FreqMRN iteratively refines the predicted motion though the proposed motion refinement module, which converts motion representations back and forth between pose space and frequency space. We evaluate FreqMRN on several standard benchmark datasets, including Human3.6M, AMASS and 3DPW. Experimental results demonstrate that FreqMRN outperforms previous methods by large margins for both short-term and long-term predictions, while demonstrating superior robustness.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Human Pose Forecasting | 3DPW | Sun et al. | Average MPJPE (mm) 1000 msec | 71 | #2 of 7 | Archive leaderboard | report |
| Human Pose Forecasting | AMASS | Sun et al. | Average MPJPE (mm) 1000 msec | 65.4 | #3 of 11 | Archive leaderboard | report |
| Human Pose Forecasting | Human3.6M | Sun et al. | Average MPJPE (mm) @ 1000 ms | 109.2 | #6 of 33 | Archive leaderboard | report |
| Human Pose Forecasting | Human3.6M | Sun et al. | Average MPJPE (mm) @ 400ms | 55.5 | #6 of 33 | 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections