Results 21 to 30 of about 98,087,126 (282)
Hubble Meets Webb: Image-to-Image Translation in Astronomy [PDF]
SensorsThis work explores the generation of James Webb Space Telescope (JWSP) imagery via image-to-image translation from the available Hubble Space Telescope (HST) data.
Vitaliy Kinakh +6 more
doaj +2 more sources
DeCGAN: a diversity-enhanced CycleGAN for unpaired image-to-image translation [PDF]
Scientific ReportsUnpaired image-to-image translation, demonstrated by frameworks like CycleGAN, has shown promise in critical applications, including medical imaging, but is hindered by challenges such as mode collapse and structural degradation.
Matthew Cobbinah +10 more
doaj +2 more sources
Similarity and quality metrics for MR image-to-image translation [PDF]
Scientific ReportsImage-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.
Melanie Dohmen +4 more
doaj +2 more sources
Image-to-Image Translation: Methods and Applications [PDF]
IEEE Transactions on Multimedia, 2022 24 pages, 21 ...
Yingxue Pang +3 more
openaire +4 more sources
Panoptic-aware Image-to-Image Translation
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Despite remarkable progress in image translation, the complex scene with multiple discrepant objects remains a challenging problem. The translated images have low fidelity and tiny objects in fewer details causing unsatisfactory performance in object recognition. Without thorough object perception (i.e., bounding boxes, categories, and masks) of images
Liyun Zhang +6 more
openaire +3 more sources
Conditional Image-to-Image Translation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 9 pages, 9 figures, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Jianxin Lin +4 more
openaire +4 more sources
Image to Image Translation for Domain Adaptation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. This is achieved by adding extra networks and losses that help regularize the features extracted by the backbone ...
Zak Murez +4 more
openaire +2 more sources
Website Text Translation and Image Translation from a URL using Optical Character Recognition (OCR) [PDF]
, 2022 Now-a-days we are almost completely dependent on information system for our day-to-day work. Almost every organization of different sectors has their own website. These websites are visited not only by the native people but also by the foreigners.
A H M Saiful Islam +4 more
core +1 more source
Robotic Instrument Segmentation With Image-to-Image Translation [PDF]
IEEE Robotics and Automation Letters, 2021 The semantic segmentation of robotic surgery video and the delineation of robotic instruments are important for enabling automation. Despite major recent progresses, the majority of the latest deep learning models for instrument detection and segmentation rely on large datasets with ground truth labels.
Emanuele Colleoni, Danail Stoyanov
openaire +3 more sources
Memory-guided Unsupervised Image-to-image Translation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR ...
Somi Jeong +3 more
openaire +2 more sources