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Streamlining Image Editing with Layered Diffusion Brushes
May 2, 2024, 4:44 a.m. | Peyman Gholami, Robert Xiao
cs.CV updates on arXiv.org arxiv.org
Abstract: Denoising diffusion models have recently gained prominence as powerful tools for a variety of image generation and manipulation tasks. Building on this, we propose a novel tool for real-time editing of images that provides users with fine-grained region-targeted supervision in addition to existing prompt-based controls. Our novel editing technique, termed Layered Diffusion Brushes, leverages prompt-guided and region-targeted alteration of intermediate denoising steps, enabling precise modifications while maintaining the integrity and context of the input image. …
abstract arxiv building cs.cv denoising diffusion diffusion models editing fine-grained image image generation images manipulation novel prompt real-time supervision tasks tool tools type
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