Research map / 3D vision / Human pose estimation
Progressive Multi-View Human Mesh Recovery with Self-Supervision
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed synthetic-data-trained multi-view mesh recovery method instead of ProHMR | Human3.6M test · Human3.6M test | MPJPE (mm): 62.2 -> 53.8 | Helped |
| Use the proposed synthetic-data-trained multi-view mesh recovery method instead of ProHMR | Human3.6M test · Human3.6M test | PMPJPE (mm): 34.5 -> 42.4 | Hurt |
| Use the proposed method instead of the strongest mean-MPJPE baseline, IMUPVH | TotalCapture test · TotalCapture test | MPJPE (mm): 70.9 -> 64.2 | Helped |
| Use multi-view rather than single-view input with the proposed method | Ours · Ski-Pose PTZ test | MPJPE (mm): 109.2 -> 89.6 | Helped |
| Use multi-view rather than single-view input with the proposed method | Ours · Ski-Pose PTZ test | PMPJPE (mm): 72.6 -> 64.8 | Helped |
| Use the proposed method instead of ProHMR | Ski-Pose PTZ test · Ski-Pose PTZ test | PCK (%): 80.3 -> 86.0 | Helped |
Closest papers by meaning
- FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery (NeurIPS 2026 · similarity 0.89)
- GenHMR: Generative Human Mesh Recovery (AAAI 2025 · similarity 0.88)
- SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens (CVPR 2025 · similarity 0.87)
- BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation (CVPR 2025 · similarity 0.87)
- Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning (AAAI 2024 · similarity 0.87)
- TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation (CVPR 2024 · similarity 0.87)
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