VQ-GAN is a technique that merges Vector Quantization with Generative Adversarial Networks to create high-quality images and audio. Practitioners interested in generative modelling can learn to synthesise intricate visuals using approaches explored in videos like 'VQ-GAN: Taming Transformers for High-Resolution Image Synthesis' and 'Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models'. Additionally, the technique relates to various implementations found in neural audio compression and text-to-audio generation.
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