Hand-object reconstruction via interaction-aware graph attention mechanism

no code implementations • 26 Sep 2024 • Taeyun Woo, Tae-Kyun Kim, Jinah Park

Estimating the poses of both a hand and an object has become an important area of research due to the growing need for advanced vision computing.

Graph Attention Graph Neural Network +2

Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics

no code implementations • 6 Sep 2024 • Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim

Accurate hand and object 3D meshes are obtained by fitting the hand parametric model (MANO) and the hand implicit function (HALO) to multi-view RGBD frames, with the MoCap system only for objects.

3D Hand Pose Estimation Object