no code implementations • 12 Sep 2023 • Tetsuya Abe, Ryusuke Sagawa, Ko Ayusawa, Wataru Takano
In the proposed method, features are extracted as codes in a motion codebook without the use of human knowledge, and the relationship between these codes can be visualized on a graph.
no code implementations • 29 Dec 2018 • Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, Akihiko Murai
In this paper, we present Skeleton Transformer Networks (SkeletonNet), an end-to-end framework that can predict not only 3D joint positions but also 3D angular pose (bone rotations) of a human skeleton from a single color image.
Ranked #279 on 3D Human Pose Estimation on Human3.6M