Papers › Self-Attentive 3D Human Pose and Shape Estimation from Videos
Self-Attentive 3D Human Pose and Shape Estimation from Videos
Yun-Chun Chen, Marco Piccirilli, Robinson Piramuthu, Ming-Hsuan Yang
We consider the task of estimating 3D human pose and shape from videos. While existing frame-based approaches have made significant progress, these methods are independently applied to each image, thereby often leading to inconsistent predictions. In this work, we present a video-based learning algorithm for 3D human pose and shape estimation. The key insights of our method are two-fold. First, to address the inconsistent temporal prediction issue, we exploit temporal information in videos and propose a self-attention module that jointly considers short-range and long-range dependencies across frames, resulting in temporally coherent estimations. Second, we model human motion with a forecasting module that allows the transition between adjacent frames to be smooth. We evaluate our method on the 3DPW, MPI-INF-3DHP, and Human3.6M datasets. Extensive experimental results show that our algorithm performs favorably against the state-of-the-art methods.
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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 | 3DPW | Self-Attentive | Acceleration Error | 77.9 | #50 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | Self-Attentive | MPJPE | 85.8 | #50 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | Self-Attentive | MPVPE | 100.6 | #50 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | Self-Attentive | PA-MPJPE | 50.4 | #50 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | Self-Attentive | MPJPE | 94.3 | #54 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | Self-Attentive | PA-MPJPE | 60.7 | #54 of 108 | Archive leaderboard | report |
| 3D Human Pose Estimation | MPI-INF-3DHP | Self-Attentive | PCK | 90.1 | #54 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.
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