Open tinatiansjz opened 2 years ago
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
Combination with Implicit human reconstruction: ICON: Implicit Clothed humans Obtained from Normals
Pose estimation (Contact/interpenetration & geometry scene constraints): COAP: Compositional Articulated Occupancy of People
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. 😊