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.
All Things VQGAN - VQ-VAE and GAN with Transformers and Codebook Interaction
Overview
Syllabus
- Topic Introduction
- Part 1 and 2 Recap
- Part 3 Introduction
- GAN Intro
- How GAN's works?
- Combining VQ-VAE with GAN
- VQ-GAN Summary
- How VQGAN Generate new images
- Transformers in VQGAN
- New image generation in VQ-GAN
- VQ-GAN summary Full
- VQ-GAN implementation and Resources
- Recap and conclusion
Taught by
Prodramp
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