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Null-text Inversion for Editing Real Images using Guided Diffusion Models. (arXiv:2211.09794v1 [cs.CV])
Nov. 18, 2022, 2:14 a.m. | Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
cs.CV updates on arXiv.org arxiv.org
Recent text-guided diffusion models provide powerful image generation
capabilities. Currently, a massive effort is given to enable the modification
of these images using text only as means to offer intuitive and versatile
editing. To edit a real image using these state-of-the-art tools, one must
first invert the image with a meaningful text prompt into the pretrained
model's domain. In this paper, we introduce an accurate inversion technique and
thus facilitate an intuitive text-based modification of the image. Our proposed
inversion …
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