One-Shot Structure-Aware Stylized Image Synthesis

arXiv:2402.17275v1 Announce Type: new
Abstract: While GAN-based models have been successful in image stylization tasks, they often struggle with structure preservation while stylizing a wide range of input images. Recently, diffusion models have been adopted for image stylization but still lack the capability to maintain the original quality of input images. Building on this, we propose OSASIS: a novel one-shot stylization method that is robust in structure preservation. We show that OSASIS is able to effectively disentangle the semantics from …

abstract arxiv building capability cs.cv diffusion diffusion models gan image images preservation quality struggle synthesis tasks type