3 citations · 3 across the 8 of their papers we have counts for
9 papers
Depth-Aware Implicit Neural Representation Priors for 3D Gravity Inversion
León Suarez-Rodriguez, Paul Goyes-Peñafiel, Javier Torres-Quintero +1
Gravimetry images subsurface density contrasts associated with geological structures, geothermal systems, and intrusive bodies. Recovering a three-dimensional density model from gr…
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Roman Jacome, Romario Gualdrón-Hurtado, Leon Suarez +1
Imaging inverse problems aim to recover high-dimensional signals from undersampled, noisy measurements, a fundamentally ill-posed task with infinite solutions in the null-space of…
DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction
Leon Suarez-Rodriguez, Roman Jacome, Romario Gualdron-Hurtado +2
Sparse-view computed tomography (CT) reconstruction is fundamentally challenging due to undersampling, leading to an ill-posed inverse problem. Traditional iterative methods incorp…
UTOPY: Unrolling Algorithm Learning via Fidelity Homotopy for Inverse Problems
Roman Jacome, Romario Gualdrón-Hurtado, Leon Suarez-Rodriguez +1
Imaging Inverse problems aim to reconstruct an underlying image from undersampled, coded, and noisy observations. Within the wide range of reconstruction frameworks, the unrolling…
Single Snapshot Distillation for Phase Coded Mask Design in Phase Retrieval
Karen Fonseca, Leon Suarez-Rodriguez, Andres Jerez +2
Phase retrieval (PR) reconstructs phase information from magnitude measurements, known as coded diffraction patterns (CDPs), whose quality depends on the number of snapshots captur…
Distilling Knowledge for Designing Computational Imaging Systems
Leon Suarez-Rodriguez, Roman Jacome, Henry Arguello
Designing the physical encoder is crucial for accurate image reconstruction in computational imaging (CI) systems. Currently, these systems are designed via end-to-end (E2E) optimi…
Learning to reconstruct signals with inexact sensing operator via knowledge distillation
Roman Jacome, Leon Suarez, Romario Gualdrón-Hurtado +2
In computational optical imaging and wireless communications, signals are acquired through linear coded and noisy projections, which are recovered through computational algorithms.…
Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach
Leon Suarez-Rodriguez, Roman Jacome, Henry Arguello
Computational optical imaging (COI) systems have enabled the acquisition of high-dimensional signals through optical coding elements (OCEs). OCEs encode the high-dimensional signal…
GAN-supervised Seismic Data Reconstruction: An Enhanced-Learning for Improved Generalization
Paul Goyes-Penafiel, Leon Suarez-Rodriguez, Claudia Correa +1
Seismic data interpolation of irregularly missing traces plays a crucial role in subsurface imaging, enabling accurate analysis and interpretation throughout the seismic processing…