6 books on Image Generation [PDF]
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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. Generative AI: From Algorithms to Art in the Age of Machine Creativity
2025 by Prabhu TL
A book about generative models, which, judging by the content, was also created by a generative model. Regarding image generation, two approaches are considered - a combination of GAN and diffusion models and transformers. Currently, the first option gives the best results. For example, you will learn that GAN technology was invented by Ian Goodfellow in 2014 - it uses the competition of two neural networks - a generator and a discriminator to create an image. The generator starts with white noise and, based on the feedback of the discriminator (which evaluates whether the image looks like a normal picture (on which it was trained), edits the pixels and tries to fool the discriminator. GAN creates a small image, which is then enlarged by a diffusion model. The diffusion model adds noise to the image (randomly) and then cleans the noise. The trick is that it was trained to remove noise from millions of images.
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2. 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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3. 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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4. 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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5. 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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6. 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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How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Generative AI: From Algorithms to Art in the Age of Machine Creativity
2025 by Prabhu TL
A book about generative models, which, judging by the content, was also created by a generative model. Regarding image generation, two approaches are considered - a combination of GAN and diffusion models and transformers. Currently, the first option gives the best results. For example, you will learn that GAN technology was invented by Ian Goodfellow in 2014 - it uses the competition of two neural networks - a generator and a discriminator to create an image. The generator starts with white noise and, based on the feedback of the discriminator (which evaluates whether the image looks like a normal picture (on which it was trained), edits the pixels and tries to fool the discriminator. GAN creates a small image, which is then enlarged by a diffusion model. The diffusion model adds noise to the image (randomly) and then cleans the noise. The trick is that it was trained to remove noise from millions of images.
Download PDF
2. 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.
Download PDF
3. 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.
Download PDF
4. 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.
Download PDF
5. 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.
Download PDF
6. 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.
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
