CVPR2020
GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes
Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, Grégory Rogez
摘要
Figure 1: GanHand predicts hand shape and pose for grasping multiple objects given a single RGB image. The figure shows sample results on the YCB-Affordance dataset we propose, the largest dataset of human grasp affordances in real scenes.