Search Results for author: Thomas Eboli

Found 8 papers, 2 papers with code

SING: A Plug-and-Play DNN Learning Technique

1 code implementation25 May 2023 Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli

We propose SING (StabIlized and Normalized Gradient), a plug-and-play technique that improves the stability and generalization of the Adam(W) optimizer.

Depth Estimation Image Classification

Collaborative Blind Image Deblurring

no code implementations25 May 2023 Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo

Blurry images usually exhibit similar blur at various locations across the image domain, a property barely captured in nowadays blind deblurring neural networks.

Blind Image Deblurring Image Deblurring

Fast Two-step Blind Optical Aberration Correction

no code implementations1 Aug 2022 Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo

The optics of any camera degrades the sharpness of photographs, which is a key visual quality criterion.

Deblurring Vocal Bursts Valence Prediction

High Dynamic Range and Super-Resolution from Raw Image Bursts

no code implementations29 Jul 2022 Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal

Photographs captured by smartphones and mid-range cameras have limited spatial resolution and dynamic range, with noisy response in underexposed regions and color artefacts in saturated areas.

Image Restoration Super-Resolution +1

Learning to Jointly Deblur, Demosaick and Denoise Raw Images

no code implementations13 Apr 2021 Thomas Eboli, Jian Sun, Jean Ponce

We address the problem of non-blind deblurring and demosaicking of noisy raw images.

Deblurring Demosaicking +1

End-to-end Interpretable Learning of Non-blind Image Deblurring

1 code implementation ECCV 2020 Thomas Eboli, Jian Sun, Jean Ponce

Non-blind image deblurring is typically formulated as a linear least-squares problem regularized by natural priors on the corresponding sharp picture's gradients, which can be solved, for example, using a half-quadratic splitting method with Richardson fixed-point iterations for its least-squares updates and a proximal operator for the auxiliary variable updates.

Blind Image Deblurring Image Deblurring

Structured and Localized Image Restoration

no code implementations16 Jun 2020 Thomas Eboli, Alex Nowak-Vila, Jian Sun, Francis Bach, Jean Ponce, Alessandro Rudi

We present a novel approach to image restoration that leverages ideas from localized structured prediction and non-linear multi-task learning.

Image Restoration Multi-Task Learning +1

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