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.
Monocular 3d human pose estimation in the wild using improved cnn supervision
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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.