Continuous Layout Editing of Single Images with Diffusion Models

dc.contributor.authorZhang, Zhiyuanen_US
dc.contributor.authorHuang, Zhitongen_US
dc.contributor.authorLiao, Jingen_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:36:13Z
dc.date.available2023-10-09T07:36:13Z
dc.date.issued2023
dc.description.abstractRecent advancements in large-scale text-to-image diffusion models have enabled many applications in image editing. However, none of these methods have been able to edit the layout of single existing images. To address this gap, we propose the first framework for layout editing of a single image while preserving its visual properties, thus allowing for continuous editing on a single image. Our approach is achieved through two key modules. First, to preserve the characteristics of multiple objects within an image, we disentangle the concepts of different objects and embed them into separate textual tokens using a novel method called masked textual inversion. Next, we propose a training-free optimization method to perform layout control for a pre-trained diffusion model, which allows us to regenerate images with learned concepts and align them with user-specified layouts. As the first framework to edit the layout of existing images, we demonstrate that our method is effective and outperforms other baselines that were modified to support this task. Code is available at our project page.en_US
dc.description.number7
dc.description.sectionheadersImage Editing and Color
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14966
dc.identifier.issn1467-8659
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14966
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14966
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Image manipulation; Graphics systems and interfaces; Neural networks
dc.subjectComputing methodologies
dc.subjectImage manipulation
dc.subjectGraphics systems and interfaces
dc.subjectNeural networks
dc.titleContinuous Layout Editing of Single Images with Diffusion Modelsen_US
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