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3D Human Pose Estimation with Spatial and Temporal Transformers Inspired by recent developments in vision transformers, we design a spatial-temporal transformer structure to comprehensively model the human joint relations within each frame as well as the temporal correlations across frames, then output an accurate 3D human pose of the center frame
3D Human Pose Estimation with Spatial and Temporal Transformers Inspired by recent developments in vision transformers, we design a spatial-temporal trans-former structure to comprehensively model the human joint relations within each frame as well as the temporal corre-lations across frames, then output an accurate 3D human pose of the center frame
3D Human Pose Estimation Transformer based on Spatio-Temporal . . . Existing transformer-based 3D human pose estimation methods focus on modeling the spatial correlation between joints in each frame or the pose-to-pose or joint-to-joint temporal correlation in the frame Current transformer-based methods use spatially and temporally linear embedding to label 2D pose sequences as high-dimensional features and process them uniformly since the human skeleton does
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal . . . The resulting spatial features of the sequence are further processed using a proposed temporal Body Aware Transformer that models the global body feature dependencies in the sequence with awareness of the local inter-skeleton feature dependencies of joints