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Found 7 papers, 4 papers with code
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
This is challenging, as it requires the avatar to walk towards the object with foot-ground contact, orient the head towards it, reach out, and grasp it with a realistic hand pose and hand-object contact.
Learning to Fit Morphable Models
A common first step in systems that tackle these problems is to regress the parameters of the parametric model directly from the input data.
Collaborative Regression of Expressive Bodies using Moderation
Second, human shape is highly correlated with gender, but existing work ignores this.
Ranked #1 on
3D Multi-Person Mesh Recovery
on AGORA
Monocular Expressive Body Regression through Body-Driven Attention
To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image.
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
To motivate this, we show that current 3D human pose estimation methods produce results that are not consistent with the 3D scene.
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild.
Ranked #3 on
3D Human Reconstruction
on AGORA
PoTion: Pose MoTion Representation for Action Recognition
We use the human joints as these keypoints and term our Pose moTion representation PoTion.
Ranked #1 on
Skeleton Based Action Recognition
on J-HMDB
