LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing

arXiv:2403.12585v1 Announce Type: new
Abstract: We present a novel, training-free approach for textual editing of real images using diffusion models. Unlike prior methods that rely on computationally expensive finetuning, our approach leverages LAtent SPatial Alignment (LASPA) to efficiently preserve image details. We demonstrate how the diffusion process is amenable to spatial guidance using a reference image, leading to semantically coherent edits. This eliminates the need for complex optimization and costly model finetuning, resulting in significantly faster editing compared to previous …

abstract alignment arxiv cs.cv diffusion diffusion models editing finetuning free image images novel prior process spatial textual training type