5 books on Image Generation [PDF]

October 24, 2024

Books on Image Generation provide a deep understanding of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and how they can be used to generate images. These books often include practical techniques for model fine-tuning, prompt preprocessing and generating high-quality images.

1. A.I IMAGE GENERATION: Utilize Free Image Generators to Unleash Your Creative Potential
2024 by Dr. Fendi Ameen



From this book I learned about Bing Image Creator - Microsoft's free tool for generating images out of text description. The book provides practical guidance on using this service and other similar free AI image models. The discovers the significant potential of AI-based image creation across various industries but takes into account the ethical considerations, including the impact of deepfakes on social media and replacing designers with artificial intelligence.
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2. Mastering Image Creation with Midjourney AI Tools: How to Create Stunning AI Images with Midjourney
2023 by Renee Gade



This is detailed, step-by-step guide that helps readers enhance their success rate with Midjourney's tools. It addresses both the capabilities and limitations of Midjourney's tools as well as ethical issues, such as biases in training data and privacy concerns. You'll learn the difference between Midjourney's free and subscription-based AI image generation tools and get practical tips for optimizing AI image creation, including fine-tuning training data.
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3. Image Generation
2023 by John Cayley



This John Cayley's book presents generated illustrated prose and poetry alongside explanations of the computational processes involved. Explanatory notes offer insights into the methodologies used for text generation. The book demonstrates the use of generative AI in creative literature.
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4. Generative Adversarial Networks for Image Generation
2021 by Xudong Mao, Qing Li



This book helps to understand GANs (Generative Adversarial Networks) that were invented by Ian Goodfellow and his collaborators and became a major advancement in machine learning and image generation . It provides a comprehensive overview of GANs and their application in image generation, discusses various applications of GANs, including image-to-image translation and domain adaptation.
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5. Hands-On Image Generation with TensorFlow: A practical guide to generating images and videos using deep learning
2020 by Soon Yau Cheong



This is a good text about TensorFlow - the python framework for practical image and video generation. The book covers foundational concepts and advanced models like VAEs and GANs, includes practical guidance on model training for applications such as face swaps and neural style transfers, describes advanced techniques, including spectral normalization and self-attention layers, are explored. Readers get hands-on experience with models like PixelCNN, VAE, DCGAN, WGAN for a variety of image generation tasks.
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