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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04253-2
Abstract: Though many methods have been proposed, image completion still remains challenge; besides textured patterns completion, it often requires high-level understanding of scenes and objects being completed. More recently, deep convolutional generative adversarial networks have been…
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Keywords:
image;
completion;
image completion;
image image ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05975-y
Abstract: Generative adversarial networks (GANs) have been accepted as powerful models in the field of computer vision, speech and language processing, etc. However, a major concern regarding GANs is the requirement of paired images for image-to-image…
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Keywords:
generative adversarial;
novel evolutionary;
image;
cyclic gan ... See more keywords
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Published in 2019 at "Radiological Physics and Technology"
DOI: 10.1007/s12194-019-00520-y
Abstract: Since the advent of deep convolutional neural networks (DNNs), computer vision has seen an extremely rapid progress that has led to huge advances in medical imaging. Every year, many new methods are reported at conferences…
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Keywords:
image;
neural networks;
medical imaging;
image image ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.072
Abstract: Abstract The abundant complex Chinese characters often lead to the high cost of time and labor in its typography production, which cannot meet various demands of typohraphies in daily life. Image translation methods are becoming…
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Keywords:
image;
typography;
ssnet;
structure ... See more keywords
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Published in 2021 at "SLAS technology"
DOI: 10.1016/j.slast.2021.10.014
Abstract: The advent of deep-learning has set new standards in an array of image translation applications. At present, the use of these methods often requires computer programming experience. Non-commercial programs with graphical interface usually do not…
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Keywords:
interface;
image translation;
deepimagetranslator;
deep learning ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-00080-5
Abstract: Image-based characterization offers a powerful approach to studying geological porous media at the nanoscale and images are critical to understanding reactive transport mechanisms in reservoirs relevant to energy and sustainability technologies such as carbon sequestration,…
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Keywords:
sample;
image;
contrast;
microscopy ... See more keywords
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Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1836426
Abstract: ABSTRACT This paper presents a novel study: remote-sensing image translation between high-resolution optical and Synthetic Aperture Radar (SAR) data through machine learning approaches. To this end, conditional Generative Adversarial Networks (cGANs) have been proposed with…
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Keywords:
image;
high resolution;
translation;
sar ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939654
Abstract: Generative Adversarial Networks (GANs) have achieved remarkable progress in image-to-image translation tasks. However, these methods have the common problem that lacking the ability to generate both perceptually realistic and diverse images in the target domain.…
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Keywords:
image;
consistent embedded;
image image;
image translation ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985413
Abstract: Road markings are one of the most important safety elements in a road network, and they play a critical role in traffic safety. However, the automatic extraction of road markings remains a technical challenge in…
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Keywords:
road;
image translation;
extraction;
road markings ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3052241
Abstract: The cross-view image translation task is aimed at generating scene images from arbitrary views. However, due to the great differences in the shapes and contents of the various views, the quality of the generated images…
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Keywords:
view image;
local global;
cross view;
image ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189352
Abstract: For an unpaired image-to-image translation to work effectively, the latent space of each image domain must be well-designed. The codes of each style must be translated toward the target while preserving the parts corresponding to…
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Keywords:
image translation;
latent space;
multidimensional latent;
image ... See more keywords