no code implementations • 10 Jun 2025 • Julia Guerrero-Viu, Michael Fischer, Iliyan Georgiev, Elena Garces, Diego Gutierrez, Belen Masia, Valentin Deschaintre
Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality.
no code implementations • 24 Mar 2025 • 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.
no code implementations • 20 Feb 2025 • Carlos Rodriguez-Pardo, David Pascual-Hernandez, Javier Rodriguez-Vazquez, Jorge Lopez-Moreno, Elena Garces
Flatbed scanners have emerged as promising devices for high-resolution, single-image material capture.
no code implementations • CVPR 2024 • Alessio Mazzucchelli, Adrian Garcia-Garcia, Elena Garces, Fernando Rivas-Manzaneque, Francesc Moreno-Noguer, Adrian Penate-Sanchez
Leveraging a pre-trained NeRF model and a single training image with user-applied color edits, IReNe swiftly adjusts network parameters in seconds.
1 code implementation • CVPR 2024 • Carlos Rodriguez-Pardo, Dan Casas, Elena Garces, Jorge Lopez-Moreno
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., the tileability).
1 code implementation • Computer Graphics Forum 2023 • Carlos Rodriguez-Pardo, Javier Fabre, Elena Garces, Jorge Lopez-Moreno
We propose NEnv, a deep-learning fully-differentiable method, capable of compressing and learning to sample from a single environment map.
no code implementations • 3 Jul 2023 • Carlos Rodriguez-Pardo, Konstantinos Kazatzis, Jorge Lopez-Moreno, Elena Garces
However, existing neural materials are immutable, meaning that their output for a certain query of UVs, camera, and light vector is fixed once they are trained.
no code implementations • CVPR 2023 • Carlos Rodriguez-Pardo, Henar Dominguez-Elvira, David Pascual-Hernandez, Elena Garces
We showcase the performance of our method with a real dataset of digitized textile materials and show that a commodity flatbed scanner can produce the type of diffuse illumination required as input to our method.
no code implementations • 13 Apr 2023 • Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas, Elena Garces
We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera.
no code implementations • 13 Jan 2022 • Carlos Rodriguez-Pardo, Elena Garces
We present SeamlessGAN, a method capable of automatically generating tileable texture maps from a single input exemplar.
no code implementations • 7 Dec 2021 • Elena Garces, Carlos Rodriguez-Pardo, Dan Casas, Jorge Lopez-Moreno
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 color of the material; and a shading, produced by the interaction between light and geometry.
no code implementations • 5 Dec 2021 • Carlos Rodriguez-Pardo, Elena Garces
Our model relies on a supervised image-to-image translation framework and is agnostic to the transferred domain; we showcase a semantic segmentation, a normal map, and a stylization.
no code implementations • 9 Sep 2020 • Raquel Vidaurre, Igor Santesteban, Elena Garces, Dan Casas
Then, after a mesh topology optimization step where we generate a sufficient level of detail for the input garment type, we further deform the mesh to reproduce deformations caused by the target body shape.
no code implementations • 1 Apr 2020 • Igor Santesteban, Elena Garces, Miguel A. Otaduy, Dan Casas
We present SoftSMPL, a learning-based method to model realistic soft-tissue dynamics as a function of body shape and motion.
1 code implementation • 4 May 2019 • Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
no code implementations • 1 Feb 2019 • 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.
no code implementations • 22 Nov 2018 • Raquel Vidaurre, Dan Casas, Elena Garces, Jorge Lopez-Moreno
The estimation of the optical properties of a material from RGB-images is an important but extremely ill-posed problem in Computer Graphics.
no code implementations • 13 Jun 2018 • Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia
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 bandwidth limitations in the capture system.
1 code implementation • 23 May 2018 • Manuel Lagunas, Elena Garces
In this paper, we use transfer learning techniques to propose a new classification network with better performance in illustration images.
no code implementations • 15 Aug 2016 • Elena Garces, Jose I. Echevarria, Wen Zhang, Hongzhi Wu, Kun Zhou, Diego Gutierrez
We present a method to automatically decompose a light field into its intrinsic shading and albedo components.