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What is GFPose: Versatile 3D Pose Modeling about?

This document presents GFPose, a framework for learning 3D human pose priors using gradient fields. GFPose trains a score network that estimates gradients on each body joint to progressively denoise perturbed poses according to task specifications, implicitly incorporating pose priors. It unifies discriminative and generative pose tasks, such as multi-hypothesis pose estimation, pose denoising, completion and generation. GFPose outperforms existing methods on these tasks by modeling the gradient of a task c

Author

Bijayan Bhattarai

Language

EN