BriefGPT.xyz
Oct, 2024
文本引导的扩散模型的概念扩展
Scaling Concept With Text-Guided Diffusion Models
HTML
PDF
Chao Huang, Susan Liang, Yunlong Tang, Yapeng Tian, Anurag Kumar...
TL;DR
本研究解决了文本引导的扩散模型在概念处理中的局限,提出了一种新方法ScalingConcept,旨在通过文本引导对已分解的概念进行增强或抑制。研究发现,该方法不仅有效提升了概念处理的灵活性,还在图像和音频领域中创造了多种零样本应用,具有显著的潜在影响。
Abstract
Text-guided diffusion
models have revolutionized
Generative tasks
by producing high-fidelity content from text descriptions. They have also enabled an editing paradigm where concepts can be replaced through text
→