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By the end of this chapter, you will: Understand the fundamentals of Variational Autoencoders (VAEs): Learn the core concepts of VAEs, including their architecture and how they are used for generative tasks. Gain insight into Generative Adversarial Networks (GANs): Explore the principles behind GANs, including their structure, training process, and applications in generating high-quality images. Explore diffusion models and their types: Understand the workings of diffusion models, including their architecture and different types, and their role in generating realistic images.

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Diffusion Model and Generative AI for Images

  • 章节

  • 发表日期：

    2026年

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  • Deepshikha Bhati,
  • Fnu Neha,
  • Angela Guercio,
  • Md Amiruzzaman,
  • Aloysius Bathi Kasturiarachi

摘要

By the end of this chapter, you will: Understand the fundamentals of Variational Autoencoders (VAEs): Learn the core concepts of VAEs, including their architecture and how they are used for generative tasks. Gain insight into Generative Adversarial Networks (GANs): Explore the principles behind GANs, including their structure, training process, and applications in generating high-quality images. Explore diffusion models and their types: Understand the workings of diffusion models, including their architecture and different types, and their role in generating realistic images.