mlsanityData to 7 Oct 2026

UV-Based 3D Hand-Object Reconstruction with Grasp Optimization

arXiv 2211.13429 ↗First posted 24 Nov 2022cs.CV cs.AIcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 50 of its 70 references that are in the map. First posted on arXiv 24 Nov 2022.

Builds on

50 of 70 references.

References · 50

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38 more
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Citing papers per year: 2023: 2; 2024: 5; 2025: 1.

8 papers.