ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

arXiv:2404.16771v1 Announce Type: new
Abstract: Diffusion-based technologies have made significant strides, particularly in personalized and customized facialgeneration. However, existing methods face challenges in achieving high-fidelity and detailed identity (ID)consistency, primarily due to insufficient fine-grained control over facial areas and the lack of a comprehensive strategy for ID preservation by fully considering intricate facial details and the overall face. To address these limitations, we introduce ConsistentID, an innovative method crafted for diverseidentity-preserving portrait generation under fine-grained multimodal facial prompts, utilizing only …

abstract arxiv challenges control cs.ai cs.cv diffusion face fidelity fine-grained however identity multimodal personalized preservation strategy technologies type