37 citations · 63 across the 13 of their papers we have counts for
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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
Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers
Matthew Cong, Lana Lan, Ronald Fedkiw
When considering sparse motion capture marker data, one typically struggles to balance its overfitting via a high dimensional blendshape system versus underfitting caused by smooth…
cs.GR2019
A Robust Volume Conserving Method for Character-Water Interaction
Minjae Lee, David Hyde, Kevin Li +1
We propose a novel volume conserving framework for character-water interaction, using a novel volume-of-fluid solver on a skinned tetrahedral mesh, enabling the high degree of the…