A NeRF: Surface free Human 3D Pose Refinement via Neural Rendering
Fig. 1. Our A NeRF test time optimization for monocular 3D human pose estimation jointly learns a volumetric body model of the user that can be animated and works with diverse body shapes (left) while also refining the initial 3D skeleton pose estimate from a single or, if available, multiple views without tedious camera calibration (right) Underlying is a surface free neural representation and skeleton based embedding coupled with volumetric rendering. Faces in H3.6M images blurred for anonymity.
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