AINeutralarXiv – CS AI · 7h ago6/10
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Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding
Researchers propose CCE-Diffusion, a framework that improves text-driven image generation by customizing concept embeddings to better align foreground objects with background synthesis. The method reduces visual artifacts in AI-generated product images, offering merchants a cost-effective tool for creating high-quality display content.