activity
20182024
most citedCoercing Machine Learning to Output Physically Accurate Results

37 citations · 60 across the 6 of their papers we have counts for

collaborators

7 papers

cs.GR2024★ 1 cited

A Neural-Network-Based Approach for Loose-Fitting Clothing

Yongxu Jin, Dalton Omens, Zhenglin Geng +4

Since loose-fitting clothing contains dynamic modes that have proven to be difficult to predict via neural networks, we first illustrate how to coarsely approximate these modes wit…

cs.LG2022

Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks

Yongxu Jin, Yushan Han, Zhenglin Geng +2

We present a novel paradigm for modeling certain types of dynamic simulation in real-time with the aid of neural networks. In order to significantly reduce the requirements on data…

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…

physics.comp-ph2019★ 37 cited

Coercing Machine Learning to Output Physically Accurate Results

Zhenglin Geng, Dan Johnson, Ronald Fedkiw

Many machine/deep learning artificial neural networks are trained to simply be interpolation functions that map input variables to output values interpolated from the training data…

cs.CV2019★ 1 cited

3D Guided Fine-Grained Face Manipulation

Zhenglin Geng, Chen Cao, Sergey Tulyakov

We present a method for fine-grained face manipulation. Given a face image with an arbitrary expression, our method can synthesize another arbitrary expression by the same person.…

cs.CV2018★ 18 cited

A Pixel-Based Framework for Data-Driven Clothing

Ning Jin, Yilin Zhu, Zhenglin Geng +1

With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation a…