A two-stage method synthesizes multi-view 2D motion data from internet video keypoints and trains a camera-conditioned diffusion model to recover globally consistent 3D human motion and HOI in world space.
Exploit- ing spatial-temporal relationships for 3d pose estimation via graph convolutional networks
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AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
A two-stage method synthesizes multi-view 2D motion data from internet video keypoints and trains a camera-conditioned diffusion model to recover globally consistent 3D human motion and HOI in world space.