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Latent Diffusion Models.pdf

2112.10752v2.pdf
Preview of Latent Diffusion Models
🔗 Source: arxiv.org
📊 Size: 38.95 MB
📄 Pages: 45 pages
⬇️ Downloads: 155

Summary

Latent diffusion models (LDMs) achieve state-of-the-art results in image synthesis by applying diffusion models in the latent space of powerful pretrained autoencoders, reducing computational demands and retaining quality and flexibility. LDMs introduce cross-attention layers for general conditioning inputs and enable high-resolution synthesis, achieving new state-of-the-art scores in image inpainting, class-conditional image synthesis, and competitive performance in text-to-image synthesis, unconditional image generation, and super-resolution.

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Description

Latent diffusion models (LDMs) achieve state-of-the-art results in image synthesis by applying diffusion models in the latent space of powerful pretrained...

Technical Information

  • File Format: PDF
  • File Size: 38.95 MB
  • Pages: 45
  • Language: EN
  • Total Downloads: 155
  • Last Updated: 5 hours ago

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