Papers › Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Donglai Xiang, Hanbyul Joo, Yaser Sheikh
We present the first method to capture the 3D total motion of a target person from a monocular view input. Given an image or a monocular video, our method reconstructs the motion from body, face, and fingers represented by a 3D deformable mesh model. We use an efficient representation called 3D Part Orientation Fields (POFs), to encode the 3D orientations of all body parts in the common 2D image space. POFs are predicted by a Fully Convolutional Network (FCN), along with the joint confidence maps. To train our network, we collect a new 3D human motion dataset capturing diverse total body motion of 40 subjects in a multiview system. We leverage a 3D deformable human model to reconstruct total body pose from the CNN outputs by exploiting the pose and shape prior in the model. We also present a texture-based tracking method to obtain temporally coherent motion capture output. We perform thorough quantitative evaluations including comparison with the existing body-specific and hand-specific methods, and performance analysis on camera viewpoint and human pose changes. Finally, we demonstrate the results of our total body motion capture on various challenging in-the-wild videos. Our code and newly collected human motion dataset will be publicly shared.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Monocular 3D Human Pose Estimation | Human3.6M | Monocular Total Capture | Average MPJPE (mm) | 58.3 | #30 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Monocular Total Capture | Frames Needed | 1 | #30 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Monocular Total Capture | Need Ground Truth 2D Pose | No | #30 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Monocular Total Capture | Use Video Sequence | NO | #30 of 52 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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