Learning method, learning system, learned model, program, and super resolution image generating device

A learning system for performing machine learning of a generative model that estimates, from a first image, a second image including higher resolution image information than the first image, the system comprising a generative adversarial network including a generator which is the generative model and a discriminator which is an identification model that identifies whether provided data is data of a correct image for learning or data derived from an output from the generator,

• wherein a self-attention mechanism is implemented only in a network of the discriminator among the generator and the discriminator, wherein the self-attention mechanism being applied in the network of the discriminator is a part or all of a plurality of convolutional layers of the discriminator,
• a first learning image including first resolution information having a lower resolution than the second image and a second learning image including second resolution information having a higher resolution than the first learning image, the second learning image being the correct image corresponding to the first learning image are used as learning data, and
• only the first learning image among the first learning image and the second learning image is provided to be input to the generator and learning of the generative adversarial network is performed.