activity
20052021
most citedPartial light field tomographic reconstruction from a fixed-camera focal stack

53 citations · 60 across the 6 of their papers we have counts for

collaborators

15 papers

eess.IV20211 cited

Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration

Mikael Le Pendu, Christine Guillemot

Plug-and-Play optimization recently emerged as a powerful technique for solving inverse problems by plugging a denoiser into a classical optimization algorithm. The denoiser accoun…

eess.IV2021

A learning-based view extrapolation method for axial super-resolution

Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang +1

Axial light field resolution refers to the ability to distinguish features at different depths by refocusing. The axial refocusing precision corresponds to the minimum distance in…

cs.CV20206 cited

A Lightweight Neural Network for Monocular View Generation with Occlusion Handling

Simon Evain, Christine Guillemot

In this article, we present a very lightweight neural network architecture, trained on stereo data pairs, which performs view synthesis from one single image. With the growing succ…

cs.CV2019

Geometry-Aware Graph Transforms for Light Field Compact Representation

Mira Rizkallah, Xin Su, Thomas Maugey +1

The paper addresses the problem of energy compaction of dense 4D light fields by designing geometry-aware local graph-based transforms. Local graphs are constructed on super-rays t…

cs.CV2019

Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression

Mira Rizkallah, Thomas Maugey, Christine Guillemot

Graph-based transforms have been shown to be powerful tools in terms of image energy compaction. However, when the support increases to best capture signal dependencies, the comput…

cs.CV2019

A Fourier Disparity Layer representation for Light Fields

Mikael Le Pendu, Christine Guillemot, Aljosa Smolic

In this paper, we present a new Light Field representation for efficient Light Field processing and rendering called Fourier Disparity Layers (FDL). The proposed FDL representation…