Generative image completion with image-to-image translation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: image; completion; image completion; image image ... See more keywords
Multidomain image-to-image translation model based on hidden space sharing
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06386-9
Abstract: Image-to-image translation translates an image from one domain to another. The goal is to learn the translation relationship between different image domains. Compared with the translation models to be trained using paired training data, CycleGAN… read more here.
Keywords: image; hidden space; model; translation ... See more keywords
BronchoGAN: anatomically consistent and domain-agnostic image-to-image translation for video bronchoscopy
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-025-03450-w
Abstract: Purpose The limited availability of bronchoscopy images makes image synthesis particularly interesting for training deep learning models. Robust image translation across different domains—virtual bronchoscopy, phantom as well as in vivo and ex vivo image data—is… read more here.
Keywords: image translation; image; bronchogan; bronchoscopy ... See more keywords
Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging
Sign Up to like & getrecommendations! 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… read more here.
Keywords: image; neural networks; medical imaging; image image ... See more keywords
Adversarial-learning-based image-to-image transformation: A survey
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.067
Abstract: Abstract Recently, the generative adversarial network (GAN) has attracted wide attention for various computer vision tasks. GAN provides a novel concept for image-to-image transformation by means of adversarial learning. In recent years, numerous adversarial-learning-based methods… read more here.
Keywords: image; image transformation; image image; learning based ... See more keywords
Asymmetric CycleGAN for image-to-image translations with uneven complexities
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.044
Abstract: Abstract CycleGAN is one of the famous and basic methods for unpaired image-to-image translation tasks. Inspired by the experiments of the NIR-RGB translation, which is a kind of translation where images are translated from simple… read more here.
Keywords: image; asymmetric cyclegan; cyclegan image; translation ... See more keywords
The body as image: image as body
Sign Up to like & getrecommendations! Published in 2017 at "The Lancet"
DOI: 10.1016/s0140-6736(17)30828-0
Abstract: Pain consultations are often contested spaces where patient and clinician compete for the roles of speaker. Often patients are searching for mechanical explanations and clinicians for psychological ones - creating an impasse and causing distress… read more here.
Keywords: image; body image; image body; pain ... See more keywords
Prediction of electrode microstructure evolutions with physically constrained unsupervised image-to-image translation networks
Sign Up to like & getrecommendations! Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-024-01228-3
Abstract: Microstructure of electrodes determines the performance of electrochemical devices such as fuel cells and batteries. The efficiency and economic feasibility of these technologies depend on the stability of the microstructures throughout their lifetime. Although modeling… read more here.
Keywords: physically constrained; image; unsupervised image; image image ... See more keywords
Similarity and quality metrics for MR image-to-image translation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-025-87358-0
Abstract: Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these methods should be validated… read more here.
Keywords: image translation; image; image image; similarity ... See more keywords
Consistent Embedded GAN for Image-to-Image Translation
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: image; consistent embedded; image image; image translation ... See more keywords
Haar Wavelet-Based Representation Learning for Unpaired Image-to-Image Translation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3556217
Abstract: In recent years, there have been numerous attempts to achieve unpaired image-to-image translation. Many algorithms have especially incorporated the contrastive learning framework into unpaired image-to-image translation. This paper presents an innovative approach to applying contrastive… read more here.
Keywords: image translation; image; image image; contrastive learning ... See more keywords