Jan. 17, 2022, 2:11 a.m. | Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha

cs.LG updates on arXiv.org arxiv.org

We present a novel mesh-based learning approach (N-Cloth) for plausible 3D
cloth deformation prediction. Our approach is general and can handle cloth or
obstacles represented by triangle meshes with arbitrary topologies. We use
graph convolution to transform the cloth and object meshes into a latent space
to reduce the non-linearity in the mesh space. Our network can predict the
target 3D cloth mesh deformation based on the initial state of the cloth mesh
template and the target obstacle mesh. Our …

arxiv networks

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Senior Data Engineer x Analyst

@ QCP Capital | Singapore, Central Singapore, Singapore

Data Scientist Associate Sr - AI Core

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India

Mgr, Machine Learning Quality Engineering Mgmt

@ ServiceNow | Hyderabad, India

Software Engineer III - Data Analytics

@ JPMorgan Chase & Co. | Hyderabad, Telangana, India

Senior Data Analyst

@ Life360 | Remote, USA or Remote, Canada