There are many physical processes that have inherent discontinuities in ...
Various software efforts embrace the idea that object oriented programmi...
We present a novel paradigm for modeling certain types of dynamic simula...
The creation of a volumetric mesh representing the interior of an input
...
We present a novel learning framework for cloth deformation by embedding...
Regularization is used to avoid overfitting when training a neural netwo...
Many machine/deep learning artificial neural networks are trained to sim...
When considering sparse motion capture marker data, one typically strugg...
We propose a novel volume conserving framework for character-water
inter...
We tackle the challenging problem of creating full and accurate three
di...
While much progress has been made in capturing high-quality facial
perfo...
It is well known that popular optimization techniques can lead to overfi...
Muscle-based systems have the potential to provide both anatomical accur...
With the aim of creating virtual cloth deformations more similar to real...