Fourth International Conference on Computer Vision and Information Technology (CVIT 2023) 2024
DOI: 10.1117/12.3013289
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Adaptive graph residual network for hand shape estimation in single images

rui li,
Haopeng Lu,
Chen Cui
et al.

Abstract: A graph convolutional network (GCN) has demonstrated impressive success in hand pose and shape estimation, due to its high interpretability and powerful capability for dealing with non-Euclidean data. In traditional GCN-based hand pose and shape estimation methods, the Chebyshev spectral graph convolution is most widely-used, and it is directly introduced to a simple multilayer network. In terms of the form, this graph convolution does not resemble a standard 2D convolution on an image. In terms of the practic… Show more

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