66 citations · 228 across the 18 of their papers we have counts for
18 papers
Fine-Grained Spatially Varying Material Selection in Images
Julia Guerrero-Viu, Michael Fischer, Iliyan Georgiev +4
Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality. In this work, we present a method fo…
DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation
Raquel Vidaurre, Elena Garces, Dan Casas
We present a data-driven method for learning to generate animations of 3D garments using a 2D image diffusion model. In contrast to existing methods, typically based on fully conne…
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner
Carlos Rodriguez-Pardo, David Pascual-Hernandez, Javier Rodriguez-Vazquez +2
Flatbed scanners have emerged as promising devices for high-resolution, single-image material capture. However, existing approaches assume very specific conditions, such as uniform…
TexTile: A Differentiable Metric for Texture Tileability
Carlos Rodriguez-Pardo, Dan Casas, Elena Garces +1
We introduce TexTile, a novel differentiable metric to quantify the degree upon which a texture image can be concatenated with itself without introducing repeating artifacts (i.e.,…
NeuBTF: Neural fields for BTF encoding and transfer
Carlos Rodriguez-Pardo, Konstantinos Kazatzis, Jorge Lopez-Moreno +1
Neural material representations are becoming a popular way to represent materials for rendering. They are more expressive than analytic models and occupy less memory than tabulated…
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
Carlos Rodriguez-Pardo, Henar Dominguez-Elvira, David Pascual-Hernandez +1
We propose a learning-based method to recover normals, specularity, and roughness from a single diffuse image of a material, using microgeometry appearance as our primary cue. Prev…
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas +1
We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically-correct digital r…
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…
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
Elena Garces, Carlos Rodriguez-Pardo, Dan Casas +1
Intrinsic imaging or intrinsic image decomposition has traditionally been described as the problem of decomposing an image into two layers: a reflectance, the albedo invariant colo…
Neural Photometry-guided Visual Attribute Transfer
Carlos Rodriguez-Pardo, Elena Garces
We present a deep learning-based method for propagating spatially-varying visual material attributes (e.g. texture maps or image stylizations) to larger samples of the same or simi…
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…
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…
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…
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…
Convolutional sparse coding for capturing high speed video content
Ana Serrano, Elena Garces, Diego Gutierrez +1
Video capture is limited by the trade-off between spatial and temporal resolution: when capturing videos of high temporal resolution, the spatial resolution decreases due to bandwi…
Transfer Learning for Illustration Classification
Manuel Lagunas, Elena Garces
The field of image classification has shown an outstanding success thanks to the development of deep learning techniques. Despite the great performance obtained, most of the work h…
Intrinsic Light Field Images
Elena Garces, Jose I. Echevarria, Wen Zhang +3
We present a method to automatically decompose a light field into its intrinsic shading and albedo components. Contrary to previous work targeted to 2D single images and videos, a…