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E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
March 18, 2024, 4:45 a.m. | Tianrui Huang, Pu Cao, Lu Yang, Chun Liu, Mengjie Hu, Zhiwei Liu, Qing Song
cs.CV updates on arXiv.org arxiv.org
Abstract: Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications. While current editing approaches have made improvements under text guidance, most of them have only focused on preserving the information of the input image, disregarding the importance of editability and alignment to the target prompt. In this paper, we prioritize the editability by proposing a zero-shot image editing method, named \textbf{E}nhance \textbf{E}ditability for text-based image …
abstract arxiv clip cs.cv current diffusion editing guidance image improvements information process text the information them type
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