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Found 4 papers, 2 papers with code
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
In the second part, we introduce a novel method to diffuse estimated contact states from the hand mesh surface to nearby 3D space and leverage diffused contact probabilities to construct the implicit neural representation for the manipulated object.
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
To address these issues, we propose a Pyramidal Mesh Alignment Feedback (PyMAF) loop in our regression network for well-aligned human mesh recovery and extend it as PyMAF-X for the recovery of expressive full-body models.
Ranked #6 on
3D Human Pose Estimation
on AGORA
(using extra training data)
Interacting Attention Graph for Single Image Two-Hand Reconstruction
To solve occlusion and interaction challenges of two-hand reconstruction, we introduce two novel attention based modules in each upsampling step of the original GCN.
Ranked #4 on
3D Interacting Hand Pose Estimation
on InterHand2.6M
3D Interacting Hand Pose Estimation
Vocal Bursts Valence Prediction
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
Overall, we propose the first light-weight total capture system and achieves fast, robust and accurate multi-person total motion capture performance.
Ranked #2 on
3D Multi-Person Pose Estimation
on Shelf
