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Found 3 papers, 0 papers with code
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
We aim to simultaneously estimate the 3D articulated pose and high fidelity volumetric occupancy of human performance, from multiple viewpoint video (MVV) with as few as two views.
Ranked #163 on
3D Human Pose Estimation
on Human3.6M
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling
We present a method for simultaneously estimating 3D human pose and body shape from a sparse set of wide-baseline camera views.
Ranked #9 on
3D Human Pose Estimation
on Total Capture
Total capture: 3D human pose estimation fusing video and inertial sensors
We incorporate this model within a dual stream network integrating pose embeddings derived from MVV and a forward kinematic solve of the IMU data.
Ranked #11 on
3D Human Pose Estimation
on Total Capture
