1 code implementation • 19 Mar 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 • 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 • 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.