# Large-scale Multiview 3D Hand Pose Dataset

arXiv: https://arxiv.org/abs/1707.03742 · HTML: https://mlsanity.com/paper/1707.03742/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jul 2017.

## Built on by (most cited first, 20 of 20)

- [AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time](https://mlsanity.com/paper/2211.03375/) (2022)
- [MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image](https://mlsanity.com/paper/2112.02753/) (2021)
- [Hand Image Understanding via Deep Multi-Task Learning](https://mlsanity.com/paper/2107.11646/) (2021)
- [InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion](https://mlsanity.com/paper/2403.17422/) (2024)
- [ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild](https://mlsanity.com/paper/2208.11547/) (2022)
- [Reconstructing Interacting Hands with Interaction Prior from Monocular Images](https://mlsanity.com/paper/2308.14082/) (2023)
- [Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics](https://mlsanity.com/paper/2409.04033/) (2024)
- [HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects](https://mlsanity.com/paper/2301.07652/) (2023)
- [Stability-driven Contact Reconstruction From Monocular Color Images](https://mlsanity.com/paper/2205.00848/) (2022)
- [MaskHand: Generative Masked Modeling for Robust Hand Mesh Reconstruction in the Wild](https://mlsanity.com/paper/2412.13393/) (2024)
- [Hand-Shadow Poser](https://mlsanity.com/paper/2505.07012/) (2025)
- [Temporally Guided Articulated Hand Pose Tracking in Surgical Videos](https://mlsanity.com/paper/2101.04281/) (2021)
- [A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks](https://mlsanity.com/paper/2105.10902/) (2021)
- [Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination](https://mlsanity.com/paper/2303.06380/) (2023)
- [V-Hands: Touchscreen-based Hand Tracking for Remote Whiteboard Interaction](https://mlsanity.com/paper/2409.13347/) (2024)
- [Fast Monocular Hand Pose Estimation on Embedded Systems](https://mlsanity.com/paper/2102.07067/) (2021)
- [Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation](https://mlsanity.com/paper/2105.10904/) (2021)
- [SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models](https://mlsanity.com/paper/2406.07840/) (2024)
- [Mesh Represented Recycle Learning for 3D Hand Pose and Mesh Estimation](https://mlsanity.com/paper/2310.12189/) (2023)
- [SPLite Hand: Sparsity-Aware Lightweight 3D Hand Pose Estimation](https://mlsanity.com/paper/2510.16396/) (2025)

## Abstract (arXiv)

Accurate hand pose estimation at joint level has several uses on human-robot interaction, user interfacing and virtual reality applications. Yet, it currently is not a solved problem. The novel deep learning techniques could make a great improvement on this matter but they need a huge amount of annotated data. The hand pose datasets released so far present some issues that make them impossible to use on deep learning methods such as the few number of samples, high-level abstraction annotations or samples consisting in depth maps. In this work, we introduce a multiview hand pose dataset in which we provide color images of hands and different kind of annotations for each, i.e the bounding box and the 2D and 3D location on the joints in the hand. Besides, we introduce a simple yet accurate deep learning architecture for real-time robust 2D hand pose estimation.