An Edit Friendly DDPM Noise Space: Inversion and Manipulationshttps://arxiv.org/abs/2304.06140
A new method for inverting Deep Diffusion Probabilistic Models (DDPMs) by using noise maps to encode image structure and facilitate image editing. The authors demonstrate that this method can be used for text-based image editing tasks and can generate diverse results for any given image and text. The article compares this method to other image editing techniques such as P2P, DDIM inversion, and Plug-and-Play (PnP) and shows how this new method can perform better in terms of fidelity, adherence to target prompts, and support of diversity among generated outputs.