Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations

Sungheon Park, Minsik Lee, Nojun Kwak

We propose a novel framework for training neural networks which is capable of learning 3D information of non-rigid objects when only 2D annotations are available as ground truths.…