MultiBooth: Towards Generating All Your Concepts in an Image from Text

arXiv:2404.14239v1 Announce Type: new
Abstract: This paper introduces MultiBooth, a novel and efficient technique for multi-concept customization in image generation from text. Despite the significant advancements in customized generation methods, particularly with the success of diffusion models, existing methods often struggle with multi-concept scenarios due to low concept fidelity and high inference cost. MultiBooth addresses these issues by dividing the multi-concept generation process into two phases: a single-concept learning phase and a multi-concept integration phase. During the single-concept learning phase, …

arxiv concepts cs.cv image text type