GAN (Generative Adversarial Network)

GAN is a foundational model architecture, available both in open-source implementations (e.g., PyTorch, TensorFlow) and proprietary adaptations developed by companies for specific use cases (e.g., synthetic data generation). An instrumental framework for generative modeling using deep neural networks:

• Consists of a generator and a discriminator trained adversarially
• Used for generating realistic images, videos, and other types of data
• Spawned numerous variations (DCGAN, CycleGAN, StyleGAN, etc.)
• Applications in image synthesis, style transfer, and data augmentation
• Influential in advancing generative AI techniques

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