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Found 3 papers, 0 papers with code
Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images
We show that representation learning of vertex heatmaps using an autoencoder helps improve the performance of such approaches.
Ranked #1 on
3D Human Pose Estimation
on Human3.6M
(using extra training data)
Learnable human mesh triangulation for 3D human pose and shape estimation
The proposed method first estimates the coordinates of mesh vertices through a CNN-based model from input images, and acquires SMPL parameters by fitting the SMPL model to the estimated vertices.
Ranked #3 on
3D Human Pose Estimation
on Human3.6M
Camera Motion Agnostic 3D Human Pose Estimation
To address this issue, this paper presents a camera motion agnostic approach for predicting 3D human pose and mesh defined in the world coordinate system.
