Double-attention generative adversarial network based on channel enhancement and image generation method
An attention and channel technology, applied in biological neural network models, image data processing, image data processing, etc., can solve the problems of difficult image generation, difficult to generate images with complex structure distribution, and less prior knowledge.
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[0063] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0064] Such as Figure 1(a) to Figure 4 As shown, the embodiment of the present invention provides a dual-attention generation confrontation network based on channel enhancement, which is improved and enhanced on the basis of the existing BigGAN model, including a generator and a discriminator, The generator includes a convolutional block 1 ...
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