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VQ Diffusion Models for Image Synthesis by 2317052 is a document available to read on EtoBox.

What is VQ Diffusion Models for Image Synthesis about?

Vector Quantized (VQ) Diffusion models are generative AI models that enhance text-to-image synthesis by combining VQ-VAE and diffusion processes. They encode images into a discrete latent space and utilize a diffusion model to generate high-quality images efficiently. This approach allows for improved image quality, better text-to-image correlation, and an optimal balance between quality and generation speed.

Author

2317052

Language

EN