2022
DOI: 10.1007/s40745-022-00436-2
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High Resolution Solar Image Generation Using Generative Adversarial Networks

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Cited by 12 publications
(2 citation statements)
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“…Lastly, the robust adversarial loss stabilizes the generator during training. The architecture of Pix2PixHD used for this work is inspired from the one in [ 23 ] and is shown in Figure 4 .…”
Section: Methodsmentioning
confidence: 99%
“…Lastly, the robust adversarial loss stabilizes the generator during training. The architecture of Pix2PixHD used for this work is inspired from the one in [ 23 ] and is shown in Figure 4 .…”
Section: Methodsmentioning
confidence: 99%
“…The general idea of generating synthetic images is not new and has been improving dramatically over the years, including for tackling class imbalance in various domains such as medical applications (Frid-Adar et al 2018 (Xu et al 2019;Li et al 2021). So far, previous work on space weather image synthesis has focused on converting SDO/AIA imagery to SDO/HMI imagery (Dani et al 2022;Sun et al 2022), or vice versa (Dash et al 2022), and mapping SDO/AIA images to corresponding images with different extreme-ultraviolet channels (Salvatelli et al 2022). Such image-to-image translation is a class of computer vision tasks that typically involves learning a mapping function between the two domains, such that the output image preserves the content and key features of the input image.…”
Section: Introductionmentioning
confidence: 99%