3D human pose and shape estimation
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Benchmarks
EgoBody
Most implemented
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
CameraHMR: Aligning People with Perspective
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
AnthroNet: Conditional Generation of Humans via Anthropometrics
Papers
JRDB-Pose3D: A Multi-person 3D Human Pose and Shape Estimation Dataset for Robotics
Real-world scenes are inherently crowded. Hence, estimating 3D poses of all nearby humans, tracking their movements over time, and understanding their activities within social and environmental contexts are essential for…
3D human pose and shape estimation3D Human Pose EstimationAutonomous DrivingRobot Navigation3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
In this paper, we present a comprehensive review of 3D human pose estimation and human mesh recovery from in-the-wild LiDAR point clouds. We compare existing approaches across several key dimensions, and propose a struct…
3D human pose and shape estimation3D Human Pose EstimationHuman Mesh RecoveryPoint CloudsLearnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
In 3D human pose and shape estimation, SMPLify remains a robust baseline that solves inverse kinematics (IK) through iterative optimization. However, its high computational cost limits its practicality. Recent advances a…
3D human pose and shape estimationVOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions
Human pose and shape (HPS) estimation methods have been extensively studied, with many demonstrating high zero-shot performance on in-the-wild images and videos. However, these methods often struggle in challenging scena…
3D human pose and shape estimation3D Human Pose EstimationSemantics-aware Test-time Adaptation for 3D Human Pose Estimation
This work highlights a semantics misalignment in 3D human pose estimation. For the task of test-time adaptation, the misalignment manifests as overly smoothed and unguided predictions. The smoothing settles predictions t…
3D human pose and shape estimation3D Human Pose Estimation3D Pose Estimationmotion prediction+4Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
Monocular 3D human pose and shape estimation is an inherently ill-posed problem due to depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a distribution over plausible 3D human meshes b…
3D human pose and shape estimationDiversityHuman Mesh Recovery