Results 41 to 50 of about 1,186,551 (242)

Image-to-Image Translation Using Identical-Pair Adversarial Networks

Applied Sciences, 2019
We propose Identical-pair Adversarial Networks (iPANs) to solve image-to-image translation problems, such as aerial-to-map, edge-to-photo, de-raining, and night-to-daytime.
Thai Leang Sung, Hyo Jong Lee
doaj   +1 more source

Image-to-Image Translation with Conditional Adversarial Networks

, 2018
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping.
Efros, Alexei A., Isola, Phillip, Zhou, Tinghui, Zhu, Jun-Yan   +3 more
core   +1 more source

End-to-End Design of Webtoon-Style Portrait Stylization System for Real-World Demo Booth

IEEE Access
Webtoon-style portrait stylization has gained prominence across various fields, including social media, virtual characters, and the Metaverse, with significant applications in demo booths for real-time audience interaction.
Sojeong Kim, Bong-Soo Sohn, Jaesung Lee
doaj   +1 more source

InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing

IEEE Access, 2020
Existing image-to-image translation methods usually incorporate encoder-decoder and generative adversarial networks to generate images. The encoder compresses an entire image into a static representation using a sequence of convolution layers until a ...
Chen Ding, Wei Kang, Jiaqi Zhu, Shuangyan Du   +3 more
doaj   +1 more source

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

, 2018
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that require high quality, especially at high-resolution and photorealism.
C Dong, C Li, HR Sheikh, J Johnson, J-Y Zhu, O Ronneberger, R Tyleček, R Zhang, X Wang, Z Wang   +9 more
core   +1 more source

Enhanced Unpaired Image-to-Image Translation via Transformation in Saliency Domain

IEEE Access, 2023
Unpaired image to image translation is the task of converting images in unpaired datasets. The primary goal of the task is to translate a source image into the image aligned with the target domain while keeping the fundamental content.
Kei Shibasaki, Masaaki Ikehara
doaj   +1 more source

Projection image-to-image translation in hybrid X-ray/MR imaging

, 2019
The potential benefit of hybrid X-ray and MR imaging in the interventional environment is large due to the combination of fast imaging with high contrast variety. However, a vast amount of existing image enhancement methods requires the image information
Breininger, Katharina, Dörfler, Arnd, Lommen, Jonathan M., Maier, Andreas, Mentl, Katrin, Stimpel, Bernhard, Syben, Christopher, Würfl, Tobias   +7 more
core   +1 more source

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

, 2022
We propose VecGAN, an image-to-image translation framework for facial attribute editing with interpretable latent directions. Facial attribute editing task faces the challenges of precise attribute editing with controllable strength and preservation of the other attributes of an image.
Dalva, Yusuf, Dundar, Aysegul, Altındiş, Said Fahri   +2 more
openaire   +4 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory

NeuroImage, 2021
In magnetic resonance (MR) imaging, a lack of standardization in acquisition often causes pulse sequence-based contrast variations in MR images from site to site, which impedes consistent measurements in automatic analyses.
Lianrui Zuo, Blake E. Dewey, Yihao Liu, Yufan He, Scott D. Newsome, Ellen M. Mowry, Susan M. Resnick, Jerry L. Prince, Aaron Carass   +8 more
doaj   +1 more source