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Found 2 papers, 1 papers with code
Multi-hop graph transformer network for 3D human pose estimation
Accurate 3D human pose estimation is a challenging task due to occlusion and depth ambiguity.
Iterative Graph Filtering Network for 3D Human Pose Estimation
Furthermore, we conduct ablation studies to analyze the contributions of different components of our model architecture and show that the skip connection and adjacency modulation help improve the model performance.
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