SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

03/09/2022
by   Albert Mosella-Montoro, et al.
7

This work presents SkinningNet, an end-to-end Two-Stream Graph Neural Network architecture that computes skinning weights from an input mesh and its associated skeleton, without making any assumptions on shape class and structure of the provided mesh. Whereas previous methods pre-compute handcrafted features that relate the mesh and the skeleton or assume a fixed topology of the skeleton, the proposed method extracts this information in an end-to-end learnable fashion by jointly learning the best relationship between mesh vertices and skeleton joints. The proposed method exploits the benefits of the novel Multi-Aggregator Graph Convolution that combines the results of different aggregators during the summarizing step of the Message-Passing scheme, helping the operation to generalize for unseen topologies. Experimental results demonstrate the effectiveness of the contributions of our novel architecture, with SkinningNet outperforming current state-of-the-art alternatives.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/30/2023

CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network

We present a novel learning method to predict the cloth deformation for ...
research
05/01/2020

RigNet: Neural Rigging for Articulated Characters

We present RigNet, an end-to-end automated method for producing animatio...
research
03/19/2021

HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction

Character rigging is universally needed in computer graphics but notorio...
research
07/28/2022

Skeleton-free Pose Transfer for Stylized 3D Characters

We present the first method that automatically transfers poses between s...
research
03/13/2023

End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction

Intensity modulated radiotherapy (IMRT) is one of the most common modali...
research
03/12/2019

A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images

This paper focuses on the challenging task of learning 3D object surface...
research
05/25/2023

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module

Latent Graph Inference (LGI) relaxed the reliance of Graph Neural Networ...

Please sign up or login with your details

Forgot password? Click here to reset