Overview of LipGAN
LipGAN is an innovative technology that involves generative adversarial networks to create realistic talking faces based on translated speech. It is a self-supervised approach and it has the potential to revolutionize the way we create and use virtual avatars.
What is LipGAN?
LipGAN is a generative adversarial network, also known as a GAN, that uses deep learning technology to create realistic talking faces. It is designed to create virtual avatars that can mimic human spe
OASIS is an innovative machine learning model that uses GAN-based networks to translate semantic label maps into realistic-looking images. It’s a revolutionary way to synthesize images and showcases unique features that make it stand out from other models in this field.
Eliminating the Dependence on Perceptual Loss
OASIS eliminates the dependency on perceptual loss by changing the traditional design of the discriminator in GAN networks. In doing so, it makes more efficient use of the label ma
Pix2Pix: A Revolutionary Image-to-Image Translation Architecture
Have you ever wanted to see how a color photograph would look as a black and white sketch? Or perhaps, wondered what a realistic representation of an abstract painting would look like? Pix2Pix is a machine learning-based image-to-image translation architecture that can turn your imagination into reality.
What is Pix2Pix?
Pix2Pix is a conditional Generative Adversarial Networks (GANs) architecture. Simply put, it is a type of ne