Portrait super-resolution reconstruction method and device, model training method and device, electronic equipment and readable storage medium
A super-resolution reconstruction and super-resolution technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problem that the image is difficult to meet the actual needs, so as to achieve super-resolution reconstruction and improve recognition Effect
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[0147] In the case of adding a discriminator to the reconstruction model to form an adversarial network, the training and adjustment of the generation network can be added to the relevant discriminative properties of the discriminator. Therefore, in a possible implementation, please refer to Figure 9 , the above step S240 may include the following sub-steps:
[0148] Step S241', inputting the output image to the trained discriminator to obtain discriminant information;
[0149] Step S242', comparing the output image and the target sample to obtain a comparison result;
[0150] Step S243', according to the discrimination information and the comparison result, adjust the network parameters of the generation network and continue training until the first preset condition is met to obtain a reconstructed model.
[0151] In this embodiment, in the case of adding a discriminator, the loss function can be constructed in the following manner, and the reconstruction model training can...
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