A controllable generative augmentation approach synthesizes diverse pose videos from indoor and outdoor datasets to improve model performance on unseen domains in 3D human pose estimation.
Recovering accurate 3d human pose in the wild using imus and a moving camera
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Enhancing Domain Generalization in 3D Human Pose Estimation through Controllable Generative Augmentation
A controllable generative augmentation approach synthesizes diverse pose videos from indoor and outdoor datasets to improve model performance on unseen domains in 3D human pose estimation.