27 citations · 75 across the 17 of their papers we have counts for
8 papers · 1 filter
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…
Personalised aesthetics with residual adapters
Carlos Rodríguez-Pardo, Hakan Bilen
The use of computational methods to evaluate aesthetics in photography has gained interest in recent years due to the popularization of convolutional neural networks and the availa…