Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance

arXiv:2403.19534v1 Announce Type: new
Abstract: Prior studies have made significant progress in image inpainting guided by either text or subject image. However, the research on editing with their combined guidance is still in the early stages. To tackle this challenge, we present LAR-Gen, a novel approach for image inpainting that enables seamless inpainting of masked scene images, incorporating both the textual prompts and specified subjects. Our approach adopts a coarse-to-fine manner to ensure subject identity preservation and local semantic coherence. …

arxiv cs.cv guidance image inpainting refine text type