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【1】gans的应用 gan-applications.pdf

发布时间：2022-06-19 发布人：admin 分类：说明书 资料大小：2.46M 资料格式：pdf 举报 版权申诉
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    Applications of GANs ● Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network ● Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks ● Generative Adversarial Text to Image Synthesis 1
    Using GANs for Single Image Super-Resolution Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi 2
    Problem How do we get a high resolution (HR) image from just one (LR) lower resolution image? Answer: We use super-resolution (SR) techniques. http://www.extremetech.com/wp-content/uploads/2012/07/super-resolution-freckles.jpg 3
    Previous Attempts 4
    SRGAN 5
    SRGAN - Generator ● G: generator that takes a low-res image ILR and outputs its high-res counterpart ISR ● θG: parameters of G, {W1:L, b1:L} ● lSR: loss function measures the difference between the 2 high-res images 6
    SRGAN - Discriminator ● D: discriminator that classifies whether a high-res image is IHR or ISR ● θD: parameters of D 7
    SRGAN - Perceptual Loss Function Loss is calculated as weighted combination of: ➔ Content loss ➔ Adversarial loss ➔ Regularization loss 8
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