A hybrid network for estimating 3D interacting hand pose from a single RGB image-Reference-Cited by-同舟云学术

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A hybrid network for estimating 3D interacting hand pose from a single RGB image

Published:2024-02-21 Issue:4 Volume:18 Page:3801-3814
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Bao Wenxia,Gao Qiuyue,Yang Xianjun

Funder

the Key Research and Technology Development Projects of An-hui Province

the Major Natural Science Re-search Projects in Colleges and Universities of Anhui Province

the National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03043-1.pdf

Reference57 articles.

1. Zhang, X., Li, Q., Mo, H., Zhang, W., Zheng, W.: End-to-end hand mesh recovery from a monocular rgb image. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2354–2364 (2019)

2. Ge, L., Ren, Z., Li, Y., Xue, Z., Wang, Y., Cai, J., Yuan, J.: 3d hand shape and pose estimation from a single rgb image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10833–10842 (2019)

3. Cai, Y., Ge, L., Cai, J., Yuan, J.: Weakly-supervised 3d hand pose estimation from monocular rgb images. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 666–682 (2018)

4. Zimmermann, C., Brox, T.: Learning to estimate 3d hand pose from single RGB images. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4903–4911 (2017)

5. Malik, J., Abdelaziz, I., Elhayek, A., Shimada, S., Ali, S.A., Golyanik, V., Theobalt, C., Stricker, D.: Handvoxnet: deep voxel-based network for 3d hand shape and pose estimation from a single depth map. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7113–7122 (2020)

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