A volumetric encoder-decoder with semantic channels and a GAN discriminator recovers high-fidelity 3D body shape and pose from two-view video, reporting lower joint error than an eight-camera baseline on TotalCapture and transferring to Human3.6M.
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Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
A volumetric encoder-decoder with semantic channels and a GAN discriminator recovers high-fidelity 3D body shape and pose from two-view video, reporting lower joint error than an eight-camera baseline on TotalCapture and transferring to Human3.6M.