1. GAN

GAN models are known for potentially unstable training and less diversity in generation due to their adversarial training nature.

2. VAE

VAE relies on a surrogate loss.

3. Flow-based Model

Flow models have to use specialized architectures to construct reversible transform.

4. Diffusion Model

overviews of different generative models

5. Reference

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