Results 11 to 20 of about 1,186,551 (242)
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
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GD-StarGAN: Multi-domain image-to-image translation in garment design. [PDF]
PLoS ONE, 2020 In the field of fashion design, designing garment image according to texture is actually changing the shape of texture image, and image-to-image translation based on Generative Adversarial Network (GAN) can do this well.
Yangyun Shen, Runnan Huang, Wenkai Huang
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Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
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Binary Noise Guidance Learning for Remote Sensing Image-to-Image Translation
Remote Sensing, 2023 Image-to-image translation (I2IT) is an important visual task that aims to learn a mapping of images from one domain to another while preserving the representation of the content. The phenomenon known as mode collapse makes this task challenging.
Guoqing Zhang +3 more
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Unsupervised Image to Image Translation With Additional Mask
IEEE Access, 2023 With the development of deep learning, the performance of image-to-image translation is also increasing. However, most of the image-to-image translation models depend on the implicit method which does not explain why the models alter specific parts of ...
Hyun-Tae Choi +2 more
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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)
Lin, Jianxin +4 more
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UMGAN: Underwater Image Enhancement Network for Unpaired Image-to-Image Translation
Journal of Marine Science and Engineering, 2023 Due to light absorption and scattering underwater images suffer from low contrast, color distortion, blurred details, and uneven illumination, which affect underwater vision tasks and research.
Boyang Sun +3 more
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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
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Quality-Aware Unpaired Image-to-Image Translation [PDF]
IEEE Transactions on Multimedia, 2019 Generative Adversarial Networks (GANs) have been widely used for the image-to-image translation task. While these models rely heavily on the labeled image pairs, recently some GAN variants have been proposed to tackle the unpaired image translation task.
Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
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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
Zhang, Liyun +6 more
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