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TRAINING METHOD, IMAGE PROCESSING METHOD, DEVICE AND STORAGE MEDIUM FOR GENERATIVE ADVERSARIAL NETWORK

机译:生成对抗网络的训练方法,图像处理方法,设备和存储介质

摘要

A training method, image processing method, computer device and computer-readable storage medium for a generative adversarial network. The training method comprises a generative network training step. The generative network training step comprises: extracting a first resolution sample image from a second resolution sample image (S1); separately providing a first input image and a second input image to a generative network so as to respectively generate a first input image-based first output image and a second input image-based second output image (S2); separately providing the first output image and the second resolution sample image to a discrimination network, and the discrimination network outputting a first output image-based first discrimination result and a second resolution sample image-based second discrimination result (S3); and adjusting parameters of the generative network so as to reduce the loss function of the generative network (S4), thereby obtaining the required images.
机译:用于生成对抗网络的训练方法,图像处理方法,计算机设备和计算机可读存储介质。训练方法包括生成网络训练步骤。生成网络训练步骤包括:从第二分辨率样本图像中提取第一分辨率样本图像(S1);以及将第一输入图像和第二输入图像分别提供给生成网络,以分别生成基于第一输入图像的第一输出图像和基于第二输入图像的第二输出图像(S2);将第一输出图像和第二分辨率样本图像分别提供给判别网络,并且判别网络输出基于第一输出图像的第一判别结果和基于第二分辨率样本图像的第二判别结果(S3);调整生成网络的参数,以减少生成网络的损失函数(S4),从而获得所需的图像。

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