2017
Human Shape From Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks
CVPR 2017spotlight
In this work, we present a novel method for capturing human body shape from a single scaled silhouette. We combine deep correlated features capturing different 2D views, and embedding spaces based on 3D cues in a novel convolutional neural network (CNN) based architecture. We first train a CNN to fi…