Collecting related papers to appear in CVPR 2022

[tinatiansjz]

As lots of excellent work is going to appear in CVPR 2022, we are collecting the newly released papers related to human mesh recovery (a.k.a. 3D human pose and shape estimation).

If you have any proposals, please feel free to comment below. 😊

[HongwenZhang]

Dataset:
Human Mesh Recovery from Multiple Shots

Body Shape:
Accurate 3D Body Shape Regression using Metric and Semantic Attributes

Temporal:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

Multi-person:
Putting People in their Place: Monocular Regression of 3D People in Depth
Occluded Human Mesh Recovery
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes

Scene-constraint/contact/physically plausible:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Human-Aware Object Placement for Visual Environment Reconstruction
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose from Monocular Video
Differentiable Dynamics for Articulated 3D Human Motion Reconstruction
Capturing and Inferring Dense Full-Body Human-Scene Contact

[vra]

Combination with Implicit human reconstruction:
ICON: Implicit Clothed humans Obtained from Normals

[zhihaolee]

Temporal:
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

[markomih]

Pose estimation (Contact/interpenetration & geometry scene constraints): COAP: Compositional Articulated Occupancy of People

[Sunil7545]

Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing

[nghorbani]

Capturing and Inferring Dense Full-Body Human-Scene Contact
Occluded Human Mesh Recovery
OSSO: Obtaining Skeletal Shape from Outside
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
Putting People in their Place: Monocular Regression of 3D People in Depth