Papers › Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek
Estimating 3D poses and shapes in the form of meshes from monocular RGB images is challenging. Obviously, it is more difficult than estimating 3D poses only in the form of skeletons or heatmaps. When interacting persons are involved, the 3D mesh reconstruction becomes more challenging due to the ambiguity introduced by person-to-person occlusions. To tackle the challenges, we propose a coarse-to-fine pipeline that benefits from 1) inverse kinematics from the occlusion-robust 3D skeleton estimation and 2) Transformer-based relation-aware refinement techniques. In our pipeline, we first obtain occlusion-robust 3D skeletons for multiple persons from an RGB image. Then, we apply inverse kinematics to convert the estimated skeletons to deformable 3D mesh parameters. Finally, we apply the Transformer-based mesh refinement that refines the obtained mesh parameters considering intra- and inter-person relations of 3D meshes. Via extensive experiments, we demonstrate the effectiveness of our method, outperforming state-of-the-arts on 3DPW, MuPoTS and AGORA datasets.
In Syntology View this paper on Syntology: its repositories, every harvested function with whether it ran, its licence and the call to fetch it.
Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
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 |
|---|---|---|---|---|---|---|---|
| 3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | B-MPJPE | 91.6 | #7 of 11 | Archive leaderboard | report |
| 3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | B-MVE | 86.7 | #7 of 11 | Archive leaderboard | report |
| 3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | B-NMJE | 110.4 | #7 of 11 | Archive leaderboard | report |
| 3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | B-NMVE | 104.5 | #7 of 11 | Archive leaderboard | report |
| 3D Multi-Person Pose Estimation | MuPoTS-3D | Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement | 3DPCK | 89.9 | #1 of 10 | 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