Papers › TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Yu Sun, Qian Bao, Wu Liu, Tao Mei, Michael J. Black
Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critical for many applications. This is particularly challenging when the camera is also moving, entangling human and camera motion. To address these issues, we adopt a novel 5D representation (space, time, and identity) that enables end-to-end reasoning about people in scenes. Our method, called TRACE, introduces several novel architectural components. Most importantly, it uses two new "maps" to reason about the 3D trajectory of people over time in camera, and world, coordinates. An additional memory unit enables persistent tracking of people even during long occlusions. TRACE is the first one-stage method to jointly recover and track 3D humans in global coordinates from dynamic cameras. By training it end-to-end, and using full image information, TRACE achieves state-of-the-art performance on tracking and HPS benchmarks. The code and dataset are released for research purposes.
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Code
Syntology Ran 5 of 20 code samples harvested from 3 repositories linked to this paper; 15 have no recorded run. Of those that ran: 1 ran · our draft was wrong; 4 ran with no contract checked.
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Code Syntology ran Syntology
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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 | TRACE | MPJPE | 79.1 | #44 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | TRACE | MPVPE | 97.3 | #44 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | TRACE | PA-MPJPE | 37.8 | #44 of 119 | 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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