DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

no code implementations • 28 Aug 2018 • Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker

Also, by employing a joint training strategy with real and synthetic data, we recover 3D hand mesh and pose from real images in 3. 7ms.