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Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Articulation-centric 2D/3D pose supervision forms the core training objective in most existing 3D human pose estimation techniques.
Appearance Consensus Driven Self-Supervised Human Mesh Recovery
We present a self-supervised human mesh recovery framework to infer human pose and shape from monocular images in the absence of any paired supervision.
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
However, generalizability of human pose estimation models developed using supervision on large-scale in-studio datasets remains questionable, as these models often perform unsatisfactorily on unseen in-the-wild environments.
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation.
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