Papers › UV-Based 3D Hand-Object Reconstruction with Grasp Optimization
UV-Based 3D Hand-Object Reconstruction with Grasp Optimization
Ziwei Yu, Linlin Yang, You Xie, Ping Chen, Angela Yao
We propose a novel framework for 3D hand shape reconstruction and hand-object grasp optimization from a single RGB image. The representation of hand-object contact regions is critical for accurate reconstructions. Instead of approximating the contact regions with sparse points, as in previous works, we propose a dense representation in the form of a UV coordinate map. Furthermore, we introduce inference-time optimization to fine-tune the grasp and improve interactions between the hand and the object. Our pipeline increases hand shape reconstruction accuracy and produces a vibrant hand texture. Experiments on datasets such as Ho3D, FreiHAND, and DexYCB reveal that our proposed method outperforms the state-of-the-art.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Hand Pose Estimation | HO-3D v3 | Yu et al. | PA-MPJPE | 10.8 | #6 of 8 | Archive leaderboard | report |
| 3D Hand Pose Estimation | HO-3D v3 | Yu et al. | PA-MPVPE | 10.4 | #6 of 8 | Archive leaderboard | report |
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