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Found 3 papers, 1 papers with code
3D Hand Shape and Pose from Images in the Wild
We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild.
Ranked #10 on
3D Hand Pose Estimation
on FreiHAND
(PA-MPVPE metric)
DGPose: Deep Generative Models for Human Body Analysis
However, the latent space learned by such approaches is typically not interpretable, resulting in less flexibility.
Critical Percolation as a Framework to Analyze the Training of Deep Networks
In this paper we approach two relevant deep learning topics: i) tackling of graph structured input data and ii) a better understanding and analysis of deep networks and related learning algorithms.
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