Generative AI Architectures

Deep Learning IMAGE Generative Models

The four well-known Deep Learning-based Image Generative Models are:

1. Variational Autoencoders (VAE)

2. Diffusion Models

3. Generative Adversarial Networks (GAN).

4. Flow-based models

These models are first trained so that they learn to model the “data distribution” (of the training data). Once trained, the model knows how to approximate the original data distribution and can use it to generate new data (images) at will.

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