Unsupervised 3D Human Pose Estimation
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Benchmarks
Human3.6M
MPI-INF-3DHP
Most implemented
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
Papers
Unsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
We propose a method of estimating a 3D human pose from a single view without 3D supervision. The key to our method is to leverage the 2D diffusion priors of motion diffusion models (MDMs) pre-trained on large 2D human po…
Unsupervised 3D Human Pose Estimation3D Pose EstimationMask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
Automatic estimation of 3D human pose from monocular RGB images is a challenging and unsolved problem in computer vision. In a supervised manner, approaches heavily rely on laborious annotations and present hampered gene…
3D Pose EstimationDiversityPose EstimationUnsupervised 3D Human Pose EstimationLInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
We present LInKs, a novel unsupervised learning method to recover 3D human poses from 2D kinematic skeletons obtained from a single image, even when occlusions are present. Our approach follows a unique two-step process,…
3D Human Pose EstimationAttributeDimensionality ReductionNormalising Flows+3Unsupervised 3D Keypoint Discovery with Multi-View Geometry
Analyzing and training 3D body posture models depend heavily on the availability of joint labels that are commonly acquired through laborious manual annotation of body joints or via marker-based joint localization using …
3D Human Pose EstimationKeypoint EstimationPose EstimationUnsupervised 3D Human Pose EstimationCLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem. However, cropping, their first step, discards…
3D human pose and shape estimation3D Human Pose EstimationHuman DetectionHuman Mesh Recovery+1Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
Although significant progress has been achieved on monocular maker-less human motion capture in recent years, it is still hard for state-of-the-art methods to obtain satisfactory results in occlusion scenarios. There are…
3D Human Pose EstimationUnsupervised 3D Human Pose Estimation