no code implementations • 19 Feb 2021 • Julia Navarro, Neus Sabater
Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis.
no code implementations • 7 Dec 2020 • Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls
Our results indicate that, when compared to a pseudo-random homogeneous distribution of the LUT nodes, GALGA reduces (1) the LUT size by $\sim$75\% and (2) the maximum interpolation relative errors by 0. 5\% It is concluded that automatic LUT design might benefit from the methodology proposed in GALGA to reduce computation time and interpolation errors.
no code implementations • 7 Dec 2020 • Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José Moreno
Computationally expensive Radiative Transfer Models (RTMs) are widely used} to realistically reproduce the light interaction with the Earth surface and atmosphere.
no code implementations • 27 May 2019 • Julia Navarro, Neus Sabater
In this work, we present a novel learning-based approach to synthesize new views of a light field image.
no code implementations • CVPR 2016 • Oriel Frigo, Neus Sabater, Julie Delon, Pierre Hellier
This paper presents a novel unsupervised method to transfer the style of an example image to a source image.