GitHub repository: ynyeh0221/Oxford-102-Flower-GAN-VAE-latent-diffusion
Primary language: Python
Description: A class-conditional image generation framework that combines a Variational Autoencoder (VAE) and a Denoising Diffusion Probabilistic Model (DDPM), tailored for the Oxford 102 Flowers dataset. The architecture features channel/spatial attention, center loss regularization, perceptual VGG loss, and GAN-based refinement.