2023

Delta Denoising Score

Hertz, Amir, Aberman, Kfir, Cohen-Or, Daniel

Understand

We introduce Delta Denoising Score (DDS), a novel scoring function for text-based image editing that guides minimal modifications of an input image towards the content described in a target prompt.

  • DDS leverages the rich generative prior of text-to-image diffusion models and can be used as a loss term in an optimization problem to steer an image towards a desired direction dictated by a text.
  • DDS utilizes the Score Distillation Sampling (SDS) mechanism for the purpose of image editing.
  • We show that using only SDS often produces non-detailed and blurry outputs due to noisy gradients.

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