Papers › DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu
This paper proposes a simple baseline framework for video-based 2D/3D human pose estimation that can achieve 10 times efficiency improvement over existing works without any performance degradation, named DeciWatch. Unlike current solutions that estimate each frame in a video, DeciWatch introduces a simple yet effective sample-denoise-recover framework that only watches sparsely sampled frames, taking advantage of the continuity of human motions and the lightweight pose representation. Specifically, DeciWatch uniformly samples less than 10% video frames for detailed estimation, denoises the estimated 2D/3D poses with an efficient Transformer architecture, and then accurately recovers the rest of the frames using another Transformer-based network. Comprehensive experimental results on three video-based human pose estimation and body mesh recovery tasks with four datasets validate the efficiency and effectiveness of DeciWatch. Code is available at https://github.com/cure-lab/DeciWatch.
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Code
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Code Syntology ran Syntology
8 samples harvested; 1 ran; 0 honoured the contract we drafted; 7 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 2D Human Pose Estimation | JHMDB (2D poses only) | DeciWatch | PCK | 98.8 | #1 of 5 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | DeciWatch-PARE | MPJPE | 75.5 | #70 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | DeciWatch-PARE | PA-MPJPE | 46.4 | #70 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | AIST++ | DeciWatch | MPJPE | 67.2 | #4 of 5 | Archive leaderboard | report |
| 3D Human Pose Estimation | AIST++ | DeciWatch | Single-view | Y | #4 of 5 | Archive leaderboard | report |
| Pose Estimation | J-HMDB | DeciWatch | Mean PCK@0.05 | 80.6 | #2 of 5 | Archive leaderboard | report |
| Pose Estimation | J-HMDB | DeciWatch | Mean PCK@0.1 | 94.6 | #2 of 5 | Archive leaderboard | report |
| Pose Estimation | J-HMDB | DeciWatch | Mean PCK@0.2 | 99.0 | #2 of 5 | 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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