This repository contains an implementation of a Variational Autoencoder (VAE) combined with a Generative Adversarial Network (GAN) in PyTorch. The model is trained on the Flowers dataset to generate realistic floral images.
Architecture:
VAE Encoder: Maps input images to a latent space.VAE Decoder: Reconstructs images from latent representations.GAN Discriminator: Ensures generated images are indistinguishable from real ones.
In order to run the program, you will need to install Python3.13 and pip. Then install the required dependencies by typing:
pip install -r requirements.txt
