Jun 4, 2020 · To address this issue, the present work proposes a novel memory-based latent attention network (MLANet) aiming to effectively restore a high- ...
A novel memory-based latent attention network (MLANet) aiming to effectively restore a high-quality image from a corresponding low-quality one, ...
Jun 16, 2020 · As an early attempt, Jain and Seung [10] introduced a simple convolutional neural network (CNN) for image denoising. The associate editor ...
Mar 15, 2024 · gressive image restoration network, where they gradually recover the latent clear images from the perspective of multi-patches to entire images.
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Aug 7, 2017 · A very deep persistent memory network (MemNet) is proposed that introduces a memory block, consisting of a recursive unit and a gate unit, ...
Nov 1, 2018 · ... Attention GAN based image colorization/restoration project ... This is a deep learning based ... photos with unpaired data using self-attention ...
―Attention-based adaptive selection of operations for image restoration in the presence of unknown combined distortions,‖. arXiv preprint arXiv:1812.00733 ...
Motivated by the achievements in model-based methods and the advances in deep networks, we propose a novel enhanced latent space blind model based deep.
Sep 27, 2021 · [1] proposed a deep dual-domain based restoration model to remove JPEG compression artifacts. Based on residual attention blocks which are able ...
This survey article is concerned with the emergence of vision augmentation AI tools for enhancing the situational awareness of first responders (FRs) in ...