Explore the final part of a three-part video series on VQGAN, focusing on the integration of Vector Quantized Variational AutoEncoders (VQ-VAE) with Generative Adversarial Networks (GANs). Learn about the role of transformers in VQGAN, the process of generating new images, and how the codebook interacts with transformers. Gain insights into VQ-GAN implementation and access valuable resources for further study. The video provides a comprehensive overview of VQGAN components, building upon concepts from previous parts, and concludes with a recap of key points.