Weakly-supervised 3D Human Pose Estimation
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Benchmarks
Human3.6M
MPI-INF-3DHP
Most implemented
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
3D human pose estimation in video with temporal convolutions and semi-supervised training
End-to-end Recovery of Human Shape and Pose
Heuristic Weakly Supervised 3D Human Pose Estimation
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Papers
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
3D human pose data collected in controlled laboratory settings present challenges for pose estimators that generalize across diverse scenarios. To address this, domain generalization is employed. Current methodologies in…
3D Human Pose EstimationDomain GeneralizationPose EstimationWeakly-supervised 3D Human Pose EstimationAutomatic Labeling of Parkinson’s Disease Gait Videos with Weak Supervision
Motor dysfunction in Parkinson’s Disease (PD) patients is typically assessed by clinicians employing the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). Such comprehensive clinical asses…
3D Human Pose EstimationPose EstimationWeakly-supervised 3D Human Pose EstimationNon-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Available 3D human pose estimation approaches leverage different forms of strong (2D/3D pose) or weak (multi-view or depth) paired supervision. Barring synthetic or in-studio domains, acquiring such supervision for each …
3D Human Pose EstimationDecoderPose EstimationRelation+2Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supervised techniques that require large-scale 2D/3D pose annotations. Such methods often behave erratically in the absence of any provision to discard …
3D Human Pose EstimationDomain AdaptationMonocular 3D Human Pose EstimationPose Estimation+3On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
Supervised approaches to 3D pose estimation from single images are remarkably effective when labeled data is abundant. However, as the acquisition of ground-truth 3D labels is labor intensive and time consuming, recent a…
3D Human Pose Estimation3D Pose EstimationFormPose Estimation+2AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
This paper addresses the problem of cross-dataset generalization of 3D human pose estimation models. Testing a pre-trained 3D pose estimator on a new dataset results in a major performance drop. Previous methods have mai…
3D Human Pose EstimationDiversityMotion GenerationPose Estimation+1