Oct 6, 2020 · Recent advances in deep neural networks have enabled great improvements in image restoration, a long-standing problem in image processing. Our ...
Oct 6, 2020 · As part of the DigiMIR project , CETIC and Numediart have collaborated to select, test and compare recent deep learning techniques, with the aim ...
Nov 4, 2024 · Researchers have developed a novel neural network model that uses old photos to reconstruct damaged cultural heritage objects as restored 3D virtual reality ( ...
Oct 31, 2024 · Researchers develop a novel neural network model that effectively reconstructs 3D digital images of relief-type cultural heritage objects from old photos.
This research investigates categorising photographs from historical sites using deep learning methods like Convolutional Neural Networks (CNN) and Support ...
Missing: Restoration | Show results with:Restoration
Nov 1, 2024 · Researchers develop a novel neural network model that effectively reconstructs 3D digital images of relief-type cultural heritage objects from old photos.
A novel neural network for preserving cultural heritage via 3D image ...
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Oct 31, 2024 · The core strength of the network lies in its depth estimation, achieved through a novel soft-edge detector and an edge matching module.
Missing: Deep | Show results with:Deep
Oct 7, 2022 · A practical method to generate hyperspectral data from readily available RGB imagery of artwork by means of a two-step process using deep neural networks.
The present paper proposes a deep learning approach to repair the missing content and to recreate a visual counterpart of a degraded artefact by a 3D rendering.
Dec 30, 2023 · Deep neural models have been able to perform image-to-image translation by transferring pictorial styles, coloring old photographs or filling in ...