1 Generative AI in Computer Vision

This chapter lays the foundation for understanding Generative AI in Computer Vision. It introduces core concepts, explores key technologies, and outlines the transformative applications shaping this rapidly evolving field. By the end of this chapter, you will have a clear roadmap for the in-depth explorations that follow in subsequent chapters.

1.1 Introduction: From Chisels to Pixels

In the ancient Greek myth of Pygmalion, a sculptor carves a statue so lifelike and beautiful that he falls in love with his own creation. [1] This timeless tale of art transcending its medium finds a striking parallel in the world of Generative AI, where algorithms breathe life into digital creations, blurring the lines between human and machine-made art.

1.2 AI, Generative AI, and Computer Vision

1.2.1 Artificial Intelligence (AI)

1.2.2 Computer Vision

1.2.3 Generative AI

1.2.4 The Intersection: Generative AI in Computer Vision

1.3 Practical Applications of Generative AI in Computer Vision

1.3.1 Digital Face Re-Aging in Video Production

1.3.2 Simulation Environments for Self-Driving Cars

1.3.3 Data Augmentation for Medical Imaging

1.4 The Evolution of Generative AI for Image Synthesis

1.4.1 Early Foundations (1950s-1980s)

1.4.2 Emergence of Neural Networks (1980s-2000s)

1.4.3 Breakthroughs in Deep Learning (2000s-2010s)

1.4.4 The GAN Revolution (2014-2020)

1.4.5 New Horizons (2020-Present)

1.5 Taxonomy for Generative AI in Computer Vision

1.5.1 Level of Control

1.6 Model Architecture

1.6.1 Autoencoders

1.6.2 Adversarial Networks

1.6.3 Diffusion Models

1.6.4 Transformers

1.6.5 Choosing the Right Architecture

1.7 Conclusion

1.8 Summary