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Published in:
2023 | OriginalPaper | Chapter
8. Diffusion Model and Generative AI for Images
Authors : Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada
Published in: Applied Generative AI for Beginners
Publisher: Apress
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Abstract
The two prominent generative models, namely, generative adversarial networks (GANs) and variational autoencoders (VAEs), have gained substantial recognition. We will see a brief explanation of both in this chapter followed by a detailed diffusion model. GANs have exhibited versatility across various applications, yet their training complexity and limited output diversity, caused by challenges like mode collapse and gradient vanishing, have been evident. On the other hand, VAEs, while having a strong theoretical foundation, encounter difficulties in devising effective loss functions, resulting in suboptimal outputs.