2023

Simple diffusion: End-to-end diffusion for high resolution images

Hoogeboom, Emiel, Heek, Jonathan, Salimans, Tim

Understand

Currently, applying diffusion models in pixel space of high resolution images is difficult.

  • Instead, existing approaches focus on diffusion in lower dimensional spaces (latent diffusion), or have multiple super-resolution levels of generation referred to as cascades.
  • The downside is that these approaches add additional complexity to the diffusion framework.
  • This paper aims to improve denoising diffusion for high resolution images while keeping the model as simple as possible.

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