From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras

We propose an unsupervised domain adaptation approach for 2D human pose estimation under extreme motion blur by leveraging event cameras to generate motion-aware blurred images and adopting a student–teacher framework with uncertainty-aware pseudo-label refinement.