3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CV2020
Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth
Jane Wu, Zhenglin Geng, Hui Zhou +1
We present a novel learning framework for cloth deformation by embedding virtual cloth into a tetrahedral mesh that parametrizes the volumetric region of air surrounding the underl…
cs.CV2020★ 3 cited
Recovering Geometric Information with Learned Texture Perturbations
Jane Wu, Yongxu Jin, Zhenglin Geng +2
Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequen…
cs.CV2018
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
Michael Bao, Jane Wu, Xinwei Yao +1
While much progress has been made in capturing high-quality facial performances using motion capture markers and shape-from-shading, high-end systems typically also rely on rotosco…