NeuroSkinning: Automatic Skin Binding for Production Characters with Deep Graph Networks

Siggraph 2019, [pdf] [data]

by Lijuan Liu, Youyi Zheng, Di Tang, Yi Yuan, Changjie Fan, Kun Zhou

This paper presents a deep-learning-based method to automatically compute skin weights for skeleton-based deformation of production characters.

We first construct a graph for the input character mesh with its associate skeleton hierarchy. Each graph node encodes the mesh-skeleton attributes. The graph and node attributes are fed into our graph convolution net to predict the skin weight map.

Our method can be applied for different games.