English(EN) Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding

新框架通过对齐文本和视觉概念来改进图像生成

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-09 14:04

研究人员开发了一个名为 CCE-Diffusion 的新框架，以提高通过前景条件外绘生成的图像质量。该方法通过定制概念嵌入来解决文本提示与视觉实例之间错位引起的伪影。该框架的关键组成部分 CCE-Module 在通用语义和特定视觉细节之间架起了桥梁，从而显著减少了伪影并提高了图像质量。 AI

影响通过减少伪影来提高图像生成质量，可能降低产品展示成本。

排序理由该集群包含一篇详细介绍图像生成新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Yihao Zhao, Xuan Han, Bin He, Mingyu You · 2026-06-10 04:00

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

arXiv:2606.10892v1 Announce Type: cross Abstract: To showcase products, merchants often incur substantial costs creating high-quality display images. Foreground Conditioned Outpainting (FCO) meets this demand, allowing users to create desired backgrounds for foreground instances …
arXiv cs.AI TIER_1 English(EN) · Mingyu You · 2026-06-09 14:04

通过定制概念嵌入改进前景条件外绘的文本实例对齐

To showcase products, merchants often incur substantial costs creating high-quality display images. Foreground Conditioned Outpainting (FCO) meets this demand, allowing users to create desired backgrounds for foreground instances at a low cost by adjusting the text prompt. Howeve…