Chapter 6

Choosing, Evaluating, and Deploying

Picking the right generative architecture requires matching the model's strengths to the problem's requirements: GANs for visual quality, VAEs for structured latent spaces and anomaly detection, diffusion for state-of-the-art text-to-image. This chapter also discusses evaluation metrics: Inception Score, Fréchet Inception Distance, reconstruction error, and semantic similarity, explaining what each metric measures, where it falls short, and when to use it.

• 1. Choosing the Right Architecture→
• 2. Evaluating Generative Models→