Papers › TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
Jiajie Liu, Mengyuan Liu, Hong Liu, Wenhao Li
Recent multi-frame lifting methods have dominated the 3D human pose estimation. However, previous methods ignore the intricate dependence within the 2D pose sequence and learn single temporal correlation. To alleviate this limitation, we propose TCPFormer, which leverages an implicit pose proxy as an intermediate representation. Each proxy within the implicit pose proxy can build one temporal correlation therefore helping us learn more comprehensive temporal correlation of human motion. Specifically, our method consists of three key components: Proxy Update Module (PUM), Proxy Invocation Module (PIM), and Proxy Attention Module (PAM). PUM first uses pose features to update the implicit pose proxy, enabling it to store representative information from the pose sequence. PIM then invocates and integrates the pose proxy with the pose sequence to enhance the motion semantics of each pose. Finally, PAM leverages the above mapping between the pose sequence and pose proxy to enhance the temporal correlation of the whole pose sequence. Experiments on the Human3.6M and MPI-INF-3DHP datasets demonstrate that our proposed TCPFormer outperforms the previous state-of-the-art methods.
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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 |
|---|---|---|---|---|---|---|---|
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=81) | AUC | 87.7 | #1 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=81) | MPJPE | 15 | #1 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=81) | PCK | 99.0 | #1 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=27) | AUC | 86.5 | #5 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=27) | MPJPE | 17.8 | #5 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | TCPFormer (T=27) | PCK | 98.7 | #5 of 108 | 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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