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Disentangling Latent Hands for Image Synthesis and Pose Estimation

CVPR 2019 · 3D vision › Human pose estimation · approach: Depth-based hand pose regression · 129 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CPose, viewpoint, and 3DPose labels in the semi-supervised settingdVAE · RHDmean EPE: up to 3.5%Helped
Use additional images and viewpoint labels in the weakly-supervised settingdVAE · RHDmean EPE: up to 7.5%Helped
Use dVAE rather than the compared two-stream methodRGB hand pose estimation · RHD and STBCPose mean EPEHelped
Use dVAE rather than the compared two-stream methodRGB hand pose estimation · RHD and STB3DPose mean EPEHelped
Use dVAE rather than the method using depth images as additional training dataRGB hand pose estimation · RHDPCK AUC: 0.038Hurt
Use dVAE rather than the method using depth images as additional training dataRGB hand pose estimation · STBPCK AUC: 0.03Hurt

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