synthetic-medical-images

Using cGANs to remove objects from a photo

Implementation of Conditional Generative Adversarial Networks in PyTorch

Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.

Conditional Generative Adversarial Networks (CGANs) extend the capabilities of traditional GANs by conditioning both the generator and discriminator models on additional information, typically class labels or other forms of auxiliary information.

The mel spectrogram generator using conditional WGAN-GP. For the mel spectrogram inverter, look up HiFi-GAN