AI-Generated Image and Video Synthesis
Deep Learning Models, Applications, and Ethical Implications in Visual Media Creation
By John Wiley & Sons | Publisher: Wiley
About the book
Technical depth and ethical frameworks for AI visual media synthesis
Generative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepfakes and misinformation. AI-Generated Image and Video Synthesis addresses both dimensions. A team of researchers provide algorithmic foundations alongside detection strategies, authentication methods, and regulatory analysis.
Coverage spans text-to-image generation, image-to-image translation, video synthesis, neural rendering, and 3D-aware generation. The book examines AI applications in CT, MRI synthetic data augmentation, and virtual staining for biomedical contexts. Case studies explore AI-assisted filmmaking, music videos, and style transfer. A dedicated chapter forecasts emerging trends including diffusion-transformer hybrids and autonomous generative agents.
Readers will also find:
- Comparative analyses of generative models including GANs, diffusion models, and transformers with implementation guidance and code repositories for hands-on experimentation
- Deepfake detection strategies and digital content authentication techniques addressing misinformation, intellectual property rights, and emerging regulatory frameworks worldwide
- Industry case studies demonstrating real-world deployments in creative industries, surveillance systems, education, and cultural preservation applications
- Biomedical imaging applications covering synthetic data generation for CT and MRI, virtual staining techniques, and data augmentation strategies
- Practical toolkits supporting implementation and evaluation of AI synthesis techniques across professional and academic contexts
Designed for AI researchers, computer vision engineers, and graduate students studying deep learning and image processing, this book connects theoretical principles with practical deployment. The combination of technical depth, application coverage, and ethical analysis makes it a comprehensive resource for professionals navigating AI-generated visual media.
Editions of AI-Generated Image and Video Synthesis
- Hardcover
- ISBN 9781394403110
- EBook
- ISBN 9781394403158
- EBook
- ISBN 9781394403141
- EBook
- ISBN 9781394403134
Read an Excerpt
Technical depth and ethical frameworks for AI visual media synthesis
Generative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepfakes and misinformation. AI-Generated Image and Video Synthesis addresses both dimensions. A team of researchers provide algorithmic foundations alongside detection strategies, authentication methods, and regulatory analysis.
Coverage spans text-to-image generation, image-to-image translation, video synthesis, neural rendering, and 3D-aware generation. The book examines AI applications in CT, MRI synthetic data augmentation, and virtual staining for biomedical contexts. Case studies explore AI-assisted filmmaking, music videos, and style transfer. A dedicated chapter forecasts emerging trends including diffusion-transformer hybrids and autonomous generative agents.
Readers will also find:
- Comparative analyses of generative models including GANs, diffusion models, and transformers with implementation guidance and code repositories for hands-on experimentation
- Deepfake detection strategies and digital content authentication techniques addressing misinformation, intellectual property rights, and emerging regulatory frameworks worldwide
- Industry case studies demonstrating real-world deployments in creative industries, surveillance systems, education, and cultural preservation applications
- Biomedical imaging applications covering synthetic data generation for CT and MRI, virtual staining techniques, and data augmentation strategies
- Practical toolkits supporting implementation and evaluation of AI synthesis techniques across professional and academic contexts
Designed for AI researchers, computer vision engineers, and graduate students studying deep learning and image processing, this book connects theoretical principles with practical deployment. The combination of technical depth, application coverage, and ethical analysis makes it a comprehensive resource for professionals navigating AI-generated visual media.
Frequently Asked Questions
What is AI-Generated Image and Video Synthesis about?
Technical depth and ethical frameworks for AI visual media synthesis
Generative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepfakes and misinformation. AI-Generated Image and Video Synthesis addresses both dimensions. A team of researchers provide algorithmic foundations alongside detection strategies, authentication methods, and regulatory analysis.
Coverage spans text-to-image generation, image-to-image translation, video synthesis, neural rendering, and 3D-aware generation. The book examines AI applications in CT, MRI synthetic data augmentation, and virtual staining for biomedical contexts. Case studies explore AI-assisted filmmaking, music videos, and style transfer. A dedicated chapter forecasts emerging trends including diffusion-transformer hybrids and autonomous generative agents.
Readers will also find:
- Comparative analyses of generative models including GANs, diffusion models, and transformers with implementation guidance and code repositories for hands-on experimentation
- Deepfake detection strategies and digital content authentication techniques addressing misinformation, intellectual property rights, and emerging regulatory frameworks worldwide
- Industry case studies demonstrating real-world deployments in creative industries, surveillance systems, education, and cultural preservation applications
- Biomedical imaging applications covering synthetic data generation for CT and MRI, virtual staining techniques, and data augmentation strategies
- Practical toolkits supporting implementation and evaluation of AI synthesis techniques across professional and academic contexts
Designed for AI researchers, computer vision engineers, and graduate students studying deep learning and image processing, this book connects theoretical principles with practical deployment. The combination of technical depth, application coverage, and ethical analysis makes it a comprehensive resource for professionals navigating AI-generated visual media.
What core themes, tropes, or subjects are explored in AI-Generated Image and Video Synthesis?
Computing and Information Technology > Computer security > Data encryption
Where can I read a sample of AI-Generated Image and Video Synthesis?
You can read an official preview of the few pages here https://www.book2look.com/book/9781394403110
Who is/are the Author/s of the book AI-Generated Image and Video Synthesis?
John Wiley & Sons
Who is the Publisher of the book AI-Generated Image and Video Synthesis?
Wiley
What are the ISBN numbers for the physical and digital editions?
AI-Generated Image and Video Synthesis is available as hardcover(ISBN 9781394403110) and ebook(ISBN 9781394403158) and ebook(ISBN 9781394403141) and ebook(ISBN 9781394403134)
Where can I buy AI-Generated Image and Video Synthesis online or support local independent bookshops?
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Where can I buy AI-Generated Image and Video Synthesis?