DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model

Understand

Thanks to the development of 2D keypoint detectors, monocular 3D human pose estimation (HPE) via 2D-to-3D uplifting approaches have achieved remarkable improvements.

• Still, monocular 3D HPE is a challenging problem due to the inherent depth ambiguities and occlusions.
• To handle this problem, many previous works exploit temporal information to mitigate such difficulties.
• However, there are many real-world applications where frame sequences are not accessible.