Search Results for author: Matias Tassano

Found 5 papers, 4 papers with code

Video Restoration with a Deep Plug-and-Play Prior

no code implementations6 Sep 2022 Antoine Monod, Julie Delon, Matias Tassano, Andrés Almansa

Under a Bayesian formalism, the method consists in using a deep convolutional denoising network in place of the proximal operator of the prior in an alternating optimization scheme.

Deblurring Denoising +3

Deep Model-Based Super-Resolution with Non-uniform Blur

2 code implementations21 Apr 2022 Charles Laroche, Andrés Almansa, Matias Tassano

Instead, in this paper, we address the more realistic and computationally challenging case of spatially-varying blur.

Image Super-Resolution

DVDnet: A Fast Network for Deep Video Denoising

1 code implementation4 Jun 2019 Matias Tassano, Julie Delon, Thomas Veit

Previous neural network based approaches to video denoising have been unsuccessful as their performance cannot compete with the performance of patch-based methods.

Denoising Video Denoising

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