Image generation with shortest path diffusion

Understand

The field of image generation has made significant progress thanks to the introduction of Diffusion Models, which learn to progressively reverse a given image corruption.

• Recently, a few studies introduced alternative ways of corrupting images in Diffusion Models, with an emphasis on blurring.
• However, these studies are purely empirical and it remains unclear what is the optimal procedure for corrupting an image.
• In this work, we hypothesize that the optimal procedure minimizes the length of the path taken when corrupting an image towards a given final state.