Contributors
Foreword
Preface
Acknowledgments
Acronyms

Introduction

1 Introduction to AI-Generated Image and Video Synthesis 1
1.1 Introduction
1.2 Foundations of AI-Generated Media
1.3 Image Synthesis Techniques
1.4 Video Synthesis and Manipulation
1.5 Applications for AI-Generated Media
1.6 Ethical and Societal Considerations
1.7 Future Directions and Challenges
1.8 Conclusion

2 LoomNet: An Assam Handloom Fabric Dataset 49
2.1 Introduction
2.2 Methodology
2.3 Discussion and Future Work
2.4 Conclusion

3 Sensors-to-Synthesis: Edge AI and IoT for Generative Visual Systems 73
3.1 Introduction
3.2 Background and Literature Review
3.3 Architectural Framework
3.4 Methodological Framework and Workflow
3.5 Sensors-to-Synthesis Workflow of Generative Visual Systems
3.6 Generative Models and Edge AI for Visual Synthesis
3.7 Applications of Edge-AI-Driven Generative Visual Systems
3.8 Challenges and Future Directions
3.9 Conclusion

4 Detecting AI-Generated Images in the Social Media Era: A Deep Learning Approach with GenReal Dataset 99
4.1 Introduction
4.2 Literature Review
4.3 Methodology
4.4 Results
4.5 Conclusion and Future Scope

5 Raindrop Removal in Images and Videos Using Generative AI: A Survey 123
5.1 Introduction
5.2 Background and Preliminaries
5.3 Generative AI Approaches for Raindrop Removal
5.4 Datasets and Evaluation Metrics
5.5 Applications
5.6 Challenges and Open Issues
5.7 Future Directions
5.8 Conclusion

6 A Transfer Learning Baseline and a GAN-Augmentation Perspective for MRI-Based Alzheimer's Disease Detection 153
6.1 Introduction
6.2 Related Work
6.3 Materials and Methods
6.4 Results
6.5 Discussion
6.6 Conclusion

7 Advanced Foundations and Future Trends in Generative AI for Visual Media 185
7.1 Context and Advanced Foundations
7.2 Technology Landscape and Mathematical Formulations for Visual Synthesis
7.3 Model Trajectories and Scaling Strategies for Visual Synthesis
7.4 Evaluation Protocols, Benchmarks, Robustness, and Alignment for Visual Media
7.5 Systems Efficiency, Economics, and Deployment for Visual Synthesis
7.6 Applications and Translational Pathways for Visual Media
7.7 Open Problems and Research Agenda for Visual Synthesis
7.8 Conclusion and Outlook for Visual Synthesis

8 High-Resolution GAN Augmentation with Ensemble CNN Models for Accurate Skin Cancer Detection 229
8.1 Introduction
8.2 Literature Review
8.3 Proposed Methodology
8.4 Experimental Setup
8.5 Results and Discussion
8.6 Conclusion and Future Scope

9 Content-Aware Convolutional VAE for Anime Face Synthesis255
9.1 Introduction
9.2 Related Work
9.3 Proposed Model: Content-Aware CNN-VAE
9.4 Experimental Setup
9.5 Result and Analysis
9.6 Conclusion

10 GEN-HAR: Generative Diffusion Learning for Human Activity Recognition 281
10.1 Introduction
10.2 Related Work
10.3 Proposed Method: GEN-HAR
10.4 Experimental Analysis
10.5 Conclusion

11 Hybrid Neural Networks for Robust Deepfake Detection: Integrating CNN-RNN and Residual Attention Architectures 305
11.1 Introduction
11.2 Related Work
11.3 Problem Statement
11.4 Proposed Work
11.5 Experiments and Results
11.6 Conclusion and Future Work

Bibliography