Search Results for author: Axel Davy

Found 9 papers, 5 papers with code

Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution

1 code implementation25 Jan 2021 Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo

We argue that in doing so, the challenge ranks the proposed methods not only by their MISR performance, but mainly by the heuristics used to guess which image in the series is the most similar to the high-resolution target.

Image Super-Resolution

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images

1 code implementation ICCV 2019 Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo

Due to the unavailability of ground truth data these networks cannot be currently trained using real RAW images.

Demosaicking Denoising

Reducing Anomaly Detection in Images to Detection in Noise

no code implementations25 Apr 2019 Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio

Anomaly detectors address the difficult problem of detecting automatically exceptions in an arbitrary background image.

Anomaly Detection

Non-Local Video Denoising by CNN

2 code implementations30 Nov 2018 Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, Gabriele Facciolo

To the best of our knowledge, this is the first successful application of a CNN to video denoising.

Image Denoising Video Denoising

Model-blind Video Denoising Via Frame-to-frame Training

1 code implementation CVPR 2019 Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias

Modeling the processing chain that has produced a video is a difficult reverse engineering task, even when the camera is available.

Denoising Video Denoising

Image Anomalies: a Review and Synthesis of Detection Methods

no code implementations7 Aug 2018 Thibaud Ehret, Axel Davy, Jean-Michel Morel, Mauricio Delbracio

We review the broad variety of methods that have been proposed for anomaly detection in images.

Anomaly Detection

A survey of exemplar-based texture synthesis

no code implementations22 Jul 2017 Lara Raad, Axel Davy, Agnès Desolneux, Jean-Michel Morel

The two main approaches are statistics-based methods and patch re-arrangement methods.

Texture Synthesis

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