• Corpus ID: 244714856

Vector Quantized Diffusion Model for Text-to-Image Synthesis

  title={Vector Quantized Diffusion Model for Text-to-Image Synthesis},
  author={Shuyang Gu and Dong Chen and Jianmin Bao and Fang Wen and Bo Zhang and Dongdong Chen and Lu Yuan and Baining Guo},
We present the vector quantized diffusion (VQ-Diffusion) model for text-to-image generation. This method is based on a vector quantized variational autoencoder (VQ-VAE) whose latent space is modeled by a conditional variant of the recently developed Denoising Diffusion Probabilistic Model (DDPM). We find that this latent-space method is well-suited for text-to-image generation tasks because it not only eliminates the unidirectional bias with existing methods but also allows us to incorporate a… 
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