Learning structure-guided diffusion model for 2d human pose estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is learning keypoints
heatmaps by a neural network. Existing methods typically improve the quality of heatmaps
by customized architectures, such as high-resolution representation and vision
Transformers. In this paper, we propose\textbf {DiffusionPose}, a new scheme that
formulates 2D HPE as a keypoints heatmaps generation problem from noised heatmaps.
During training, the keypoints are diffused to random distribution by adding noises and the …
heatmaps by a neural network. Existing methods typically improve the quality of heatmaps
by customized architectures, such as high-resolution representation and vision
Transformers. In this paper, we propose\textbf {DiffusionPose}, a new scheme that
formulates 2D HPE as a keypoints heatmaps generation problem from noised heatmaps.
During training, the keypoints are diffused to random distribution by adding noises and the …
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