Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Ai-Generated Image and Video Synthesis: Deep Learning Models, Applications, and Ethical Implications in Visual Media Creation

Ai-Generated Image and Video Synthesis: Deep Learning Models, Applications, and Ethical Implications in Visual Media Creation

Mewada, Arvind
Ansari, Mohd Aquib
Ahmad, Shahnawaz

Hardcover

General ComputersComputer Security

ISBN10: 1394403119
ISBN13: 9781394403110
Publisher: Wiley-IEEE Press
Published: Aug 17 2026
Pages: 192
Weight: 1.16
Height: 0.67 Width: 7.30 Depth: 10.26
Language: English

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 and online resources 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.

Also from

Mewada, Arvind

View All

Also in

General Computers

View All