Joint-wise 2D to 3D lifting for hand pose estimation from a single RGB image
Author:
Funder
natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03764-1.pdf
Reference32 articles.
1. Cai Y, Ge L, Cai J, Yuan J (2018) Weakly-supervised 3d hand pose estimation from monocular rgb images. In: Proceedings of the European conference on computer vision (ECCV), pp 666–682
2. Chatzis T, Stergioulas A, Konstantinidis D, Dimitropoulos K, Daras P (2020) A comprehensive study on deep learning-based 3d hand pose estimation methods. Appl Sci 10(19):6850
3. Chen Z, Du K, Sun Y, Lin X, Ma X (2020) Hierarchical neural network for hand pose estimation. Signal Process Image Commun 115909:87
4. Choi H, Moon G, Lee KM (2020) Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose. In: European conference on computer vision. Springer, pp 769–787
5. Ge L, Ren Z, Li Y, Xue Z, Wang Y, Cai J, Yuan J (2019) 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
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