CVPR2024

An Edit Friendly DDPM Noise Space: Inversion and Manipulations

Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli

Abstract

of real images via the diverse DDPM sampling scheme (in contrast to the popular non-diverse DDIM inversion). We also show how it can be used within existing diffusion-based editing methods to improve their quality and diversity. The code of the method is attached to this submission.