Generative Vision Models

Chapter 49: Variational Autoencoders (VAEs) (Image generation, latent space interpolation) Chapter 50: Generative Adversarial Networks (GANs) (DCGAN, StyleGAN, BigGAN, ProGAN, GAN inversion) Chapter 51: Diffusion Models (DDPM, Stable Diffusion, DALL·E 2, latent diffusion) Chapter 52: Conditional and Controllable Generation (Pix2Pix, CycleGAN, GauGAN, text-guided synthesis) Chapter 53: Neural Rendering (NeRF, GRAF, differentiable rendering, scene synthesis)