Tag: ode

• InstaFlow One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation (09 Sep 2023)
  

  This is my reading note on InstaFlow One Step is Enough for High-Quality Diffusion-Based Text-to-Image. This paper proposes a way to speed up diffusion based method, by achieving high fidelity with one step of diffusion. The key to this method is to use rectified how to straighten the probability flow from model to the final image. After that the model could be distilled to one step diffusion.

• Elucidating the Design Space of Diffusion-Based Generative Models (19 Aug 2023)
  

  This is my reading note for Elucidating the Design Space of Diffusion-Based Generative Models. This paper checks the varying design of diffusion method and proposed a unify frame work to incorporate them. Finally the author proposes optimal choice of diffusion method under this frame work.