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Unpaired Image-to-Image Translation of Structural Damage
Advanced Engineering Informatics, 2023Vedhus Hoskere
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Asymmetric GAN for Unpaired Image-to-Image Translation [PDF]
IEEE Transactions on Image Processing, 2019 Unpaired image-to-image translation problem aims to model the mapping from one domain to another with unpaired training data. Current works like the well-acknowledged Cycle GAN provide a general solution for any two domains through modeling injective mappings with a symmetric structure. While in situations where two domains are asymmetric in complexity,
Rui Zhang, Yongdong Zhang, Yu Li
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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.
Meng Wang, Zhenzhen Hu
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CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation
2023 International Joint Conference on Neural Networks (IJCNN), 2023Synthetic Aperture Radar (SAR) is a cutting-edge remote sensing technology that offers a unique perspective on the Earth's surface through its advanced microwave imaging, providing valuable insights into various aspects of the environment. However, SAR images are impacted by the speckle phenomenon, which acts as noise, hindering accurate interpretation
Francesco Lattari +4 more
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Attribute-Driven Spontaneous Motion in Unpaired Image Translation
, 2019 Current image translation methods, albeit effective to produce high-quality results in various applications, still do not consider much geometric transform.
Jiaya Jia, Xiaoyong Shen, Xiaodong Gu
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