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# Variational Autoencoders (VAEs): A Deep Dive into Generative Computer Vision Imagine creating new images, not from photographs, but from an algorithm's imagination. That's the power of generative models in computer vision, and at the heart of many of these models lies the Variational Autoencoder (VAE). VAEs aren't just about compressing data like traditional autoencoders; they learn the underlying probability distribution of your data, enabling them to generate entirely new samples that resem