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Abstract 3D human pose and shape estimation is the foundation of analyzing human motion. However, estimating accurate and temporally consistent 3D human motion from a video remains a challenge. By now, most of the video-based methods for estimating 3D human pose and shape rely on unidirectional temporal features and lack more comprehensive information.
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