ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image

arXiv:2402.11849v1 Announce Type: new
Abstract: Recent advancements in personalizing text-to-image (T2I) diffusion models have shown the capability to generate images based on personalized visual concepts using a limited number of user-provided examples. However, these models often struggle with maintaining high visual fidelity, particularly in manipulating scenes as defined by textual inputs. Addressing this, we introduce ComFusion, a novel approach that leverages pretrained models generating composition of a few user-provided subject images and predefined-text scenes, effectively fusing visual-subject instances with textual-specific …

abstract arxiv capability concepts cs.cv diffusion diffusion models examples fidelity generate image images multiple personalized struggle text text-to-image type visual visual concepts