79 citations · 200 across the 7 of their papers we have counts for
8 papers
Transcoding a 3D Gaussian Splatting Model from a Plenoptic Point Cloud or Mesh without the Original Multi-view Images
Maja Krivokuća, Riad Bendouro, Neus Sabater
In this paper, we propose an end-to-end transcoding pipeline, to create 3D Gaussian splatting (3DGS) models from existing 3D plenoptic point cloud or mesh models, when the original…
Compact and adaptive multiplane images for view synthesis
Julia Navarro, Neus Sabater
Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a gre…
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes
Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera-Caicedo +4
Computationally expensive Radiative Transfer Models (RTMs) are widely used} to realistically reproduce the light interaction with the Earth surface and atmosphere. Because these mo…
Statistical Learning for End-to-End Simulations
J. Vicent, J. Verrelst, J. P. Rivera-Caicedo +4
End-to-end mission performance simulators (E2ES) are suitable tools to accelerate satellite mission development from concet to deployment. One core element of these E2ES is the gen…
Gaussian Processes Retrieval of LAI from Sentinel-2 Top-of-Atmosphere Radiance Data
Jose Estevez, Jorge Vicent, Juan Pablo Rivera-Caicedo +6
Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithm…
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models
Jorge Vicent, Luis Alonso, Luca Martino +3
Atmospheric correction of Earth Observation data is one of the most critical steps in the data processing chain of a satellite mission for successful remote sensing applications. A…
Learning Occlusion-Aware View Synthesis for Light Fields
Julia Navarro, Neus Sabater
In this work, we present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented…
Meaningful Matches in Stereovision
Neus Sabater, Andrés Almansa, Jean-Michel Morel
This paper introduces a statistical method to decide whether two blocks in a pair of of images match reliably. The method ensures that the selected block matches are unlikely to ha…