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MultimodalarXiv cs.AI 21 h ago

Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding

The article presents the Customized Concept Embedding Diffusion (CCE-Diffusion) framework, designed to improve Foreground Conditioned Outpainting (FCO) by addressing artifact issues in synthesized backgrounds. The CCE-Module customizes concept embeddings to better align with specific visual instances, utilizing an Instance-Aware Loss for optimization and a Semantic-Preserving Prompt Template to maintain prompt integrity. This framework can be integrated into existing FCO methods, significantly enhancing output quality and reducing artifacts, which is crucial for practitioners aiming to create high-quality display images efficiently.

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