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Found 5 papers, 2 papers with code
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
However, extending such models to multi-frame human pose estimation is non-trivial due to the presence of the additional temporal dimension in videos.
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
On the other hand, the temporal difference has the ability to encode representative motion information which can potentially be valuable for pose estimation but has not been fully exploited.
2D Human Pose Estimation: A Survey
Briefly, existing approaches put their efforts in three directions, namely network architecture design, network training refinement, and post processing.
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
State-of-the-art methods strive to incorporate additional visual evidences from neighboring frames (supporting frames) to facilitate the pose estimation of the current frame (key frame).
Deep Dual Consecutive Network for Human Pose Estimation
Multi-frame human pose estimation in complicated situations is challenging.
Ranked #1 on
Multi-Person Pose Estimation
on PoseTrack2017
(using extra training data)
