A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

The composite loss function of Generator makes EP-GAN a “model-informed” GAN as HH-model itself becomes part of the training process. Such networks have shown to be more data efficient during training ...

To prevent this, our PMF-GAN model refines the discriminator’s capabilities, penalizing the generator for producing overly similar outputs, thereby promoting diversity, “explains Dr. Lee.

Because the SWINIR model alone gives very good performance. When it is integrated as a generator in a GAN with a Unet or PatchGAN discriminator, the PSNR on the tests decreases.

Recent AI development has shown several groundbreaking inventions, from ChatGPT to the Action Transformer model. However, Generative Adversarial Networks (GAN) is a particularly significant ...

The paper presents a model of a logo generator. The proposed model uses extended StyleGAN neural network. The architecture of the StyleGAN network is presented with an emphasis on the additional ...

A regular photographic picture provides 2-dimensional information of the object by recording only intensity of light, whereas a CGH provides 3-dimensional information about the object, including ...