5 papers · 1 filter
Breaking the Sub-Millimeter Barrier: Eyeframe Acquisition from Color Images
Manel Guzmán, Antonio Agudo
Eyeframe lens tracing is an important process in the optical industry that requires sub-millimeter precision to ensure proper lens fitting and optimal vision correction. Traditiona…
Meteorological data and Sky Images meets Neural Models for Photovoltaic Power Forecasting
Ines Montoya-Espinagosa, Antonio Agudo
Due to the rise in the use of renewable energies as an alternative to traditional ones, and especially solar energy, there is increasing interest in studying how to address photovo…
NeRFscopy: Neural Radiance Fields for in-vivo Time-Varying Tissues from Endoscopy
Laura Salort-Benejam, Antonio Agudo
Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a robust dynamic 3D reconstruction pipeline for endoscopic videos could enhance v…
4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
Sergio M. de Paco, Antonio Agudo
We present a coarse-to-fine neural deformation model to simultaneously recover the camera pose and the 4D reconstruction of an unknown object from multiple RGB sequences in the wil…
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +2
Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches. Parametric techn…