The final output image resolution is 512x512, so your input image resolution should be 128x128 (4x), 256x256 (2x), or 512x512 (1x). You can adjust the temperature and CFG(Classifier-Free Guidance) ...

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator ...

instead of disrupting network services for the general public. With several schools, colleges, and medical facilities in the vicinity, residents have emphasized the urgent need for a resolution to ...

Generative AI tools are constantly improving — making it increasingly difficult for us to detect which images are ...

Contrary to the popular perception, Aaron Rodgers does have a healthy market in free agency. According to the whispers around the league, the Super Bowl winner is the No. 1 target for the Seattle ...

The proposed scheme contains two stages. Wherein, the first stage aims to estimate the missing echo elements from the incomplete observations by designing a generative adversary network based on ...

Abstract: The application of generative adversarial networks (GANs) has recently advanced speech super-resolution (SR) based on intermediate representations like mel-spectrograms. However, existing SR ...

Due to their ability to augment data by learning underlying distributions, generative adversarial networks (GAN) provide a potential ... to generate 3 T images (called 3 T *) images with better ...