4 citations · 7 across the 2 of their papers we have counts for
4 papers
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
Raquel Vidaurre, Igor Santesteban, Elena Garces +1
We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trai…
SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans
Igor Santesteban, Elena Garces, Miguel A. Otaduy +1
We present SoftSMPL, a learning-based method to model realistic soft-tissue dynamics as a function of body shape and motion. Datasets to learn such task are scarce and expensive to…
Learning-Based Animation of Clothing for Virtual Try-On
Igor Santesteban, Miguel A. Otaduy, Dan Casas
This paper presents a learning-based clothing animation method for highly efficient virtual try-on simulation. Given a garment, we preprocess a rich database of physically-based dr…
BRDF Estimation of Complex Materials with Nested Learning
Raquel Vidaurre, Dan Casas, Elena Garces +1
The estimation of the optical properties of a material from RGB-images is an important but extremely ill-posed problem in Computer Graphics. While recent works have successfully ap…