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This advanced course covers the evolution of generative modeling – from early Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) to modern Autoregressive models and Diffusion-based systems. Students will investigate how these models represent the visual world, how they can be controlled, and how they are transforming tasks like image editing, 3D scene synthesis, and video generation.