activity
20182022
most citedSeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps

27 citations · 39 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV202227 cited

SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps

Carlos Rodriguez-Pardo, Elena Garces

We present SeamlessGAN, a method capable of automatically generating tileable texture maps from a single input exemplar. In contrast to most existing methods, focused solely on sol…

cs.CV20204 cited

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…

cs.CV2020

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…

cs.GR2019

A Similarity Measure for Material Appearance

Manuel Lagunas, Sandra Malpica, Ana Serrano +3

We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments. We first create a database of 9,000 render…

cs.CV20198 cited

Learning icons appearance similarity

Manuel Lagunas, Elena Garces, Diego Gutierrez

Selecting an optimal set of icons is a crucial step in the pipeline of visual design to structure and navigate through content. However, designing the icons sets is usually a diffi…

cs.CV2018

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…